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IEEE

SSCI2013

2013 IEEE

SYMPOSIUM SERIES ON

COMPUTATIONAL INTELLIGENCE

16 Tuesday - 19 Friday April 2013

Grand Copthorne Waterfront Hotel, Singapore

Sponsored by Supported by

Held in


Tuesday, 16 April 2013

Wednesday, 17 April 2013

Thursday, 18 April 2013

Friday, 19 April 2013

Time/ Venue Galleria Ballroom Level 3 Lyrebird Level 3

08.30 - 09.30

09.30 - 10.30

MCDM keynote (p-21)

by Prof Sanghamitra Bandyopadhyay

CIDM keynote (p-15)

by Prof Alessandro Sperduti

ICES keynote (p-21) by Prof Dr AE (Gusz) Eiben

CICARE keynote (p-14) by Dr Henrique Martins

10.30 - 11.30 SSCI keynote (p-23) by Prof James M. Keller IEEE ALIFE keynote (p-11) by Dr Katie Bentley

11.30 - 12.30 CIASG keynote (p-10, 12) by Dr Paul Werbos CIBIM keynote (p-13) by Prof Ioannis Pitas

13.30 - 14.30

SSCI keynote (p-8, 23)

by Prof Chin-Teng (CT) Lin

MC keynote (p-21) by Prof Jacek Madziuk

14.30 - 15.30 SIS keynote (p-22) by Dr Swagatam Das CCMB keynote (p-12) by Dr Leonid Perlovsky

15.30 - 17.30

KEYNOTES & TUTORIALS AT-A-GLANCE

Panel Session (Grand Ballroom Level 4)

Dr. Gary Fogel, Dr. Garry Greenwood, Dr. Hisao Ishibuchi, Dr. Chin-Teng (CT) Lin,

Dr. Nikhil R. Pal, Dr.Marios Polycarpou, Dr. Jose Principe, Dr. Paul Werbos & Dr. Xin Yao (p-8-10)

08.30 - 09.30 SSCI keynote (p-24) by Dr Dipti Srinivasan CIDUE keynote (p-16) by Prof Yaochu Jin

09.30 - 10.30 CIVTS keynote (p-20) by Dr Emilio Frazzoli CICARE keynote (p-15) by Prof Amir Hussain

10.30 - 11.30 SSCI keynote (p-9, 24) by Prof Marios Polycarpou CIHLI keynote (p-18) by Prof Hussein Abbass

11.30 - 12.30 SSCI keynote (p-9, 24) by Prof Jose Principe CISDA keynote (p-19) by Prof N Sundararajan

13.30 - 14.30 ADPRL keynote (p-10) by Prof Huaguang Zhang CIDM keynote (p-16) by Dr K. C. Tan

14.30 - 15.30 ADPRL keynote (p-10, 11) by Dr Paul Werbos SSCI keynote (p-24) by Dr Bijaya Ketan Panigrahi

15.30 - 16.30 CIBCB keynote (p-12) by Prof Hong Yan

16.30 - 17.30 SSCI keynote (p-25) by Dr Amit Kumar

IEEE ALIFE keynote (p-11)

by Dr Mikhail Prokopenko

SSCI keynote (p-25)

by Prof Chrystopher Nehaniv

08.30 - 09.30 CIBCB keynote (p-13) by Dr Vladimir Brusic SSCI keynote (p-25) by Prof David Corne

09.30 - 10.30 CIEL keynote (p-10, 17) by Prof Xin Yao CIBCB keynote (p-13) by Prof Paulo Lisboa

10.30 - 11.30 SSCI keynote (p-26) by Prof Wlodzislaw Duch CIMSIVP keynote (p-19) by Dr Justin Dauwels

11.30 - 12.30 CCMB keynote (p-12) by Dr Cuntai Guan SIS keynote (p-23) by Prof Jayadeva

13.30 - 14.30 EAIS keynote (p-20) by Prof Witold Pedrycz

CICS/CIComms keynote (p-15)

by Prof Ratan K Guha

14.30 - 15.30 SSCI keynote (p-26) by Prof Janusz Kacprzyk CIES keynote (p-17) by Prof Michael Beer

15.30 - 16.30 CICA keynote (p-14) by Prof Hao Ying SSCI tutorial (p-27) by Dr Hideyuki Takagi

16.30 - 17.30 CIHLI keynote (p-18) by Dr Yew-Soon Ong SSCI tutorial (p-27) by Dr Hideyuki Takagi

08.30 - 09.30 SDE keynote (p-22) by Dr Ferrante Neri CIFEr tutorial (p-17) by Prof Robert Marks

09.30 - 10.30 SSCI keynote (p-27) by Prof Vaclav Snasel CIFEr tutorial (p-17) by Prof Robert Marks

10.30 - 11.30 IA keynote (p-20) by Dr Erik Cambria

11.30 - 12.30 SSCI keynote (p-27) by Dr Suresh Sundaram

SSCI keynote by Prof. Marimuthu Palaniswami on

“Creating a sustainable smart city through internet of

Things: Challenges and Opportunities”

13.30 - 14.30 CIES keynote (p-17) by Dr Valentin Ivanov CIFEr tutorial (p-18) by Dr Akira Namatame

14.30 - 15.30 CIFEr tutorial (p-18) by Dr Akira Namatame

15.30 - 16.30 RiiSS keynote (p-22) by Dr Tetsuya Ogata

Design, Typeset & Printed by Research Publishing Services

E-mail: enquiries@rpsonline.com.sg


Keynotes & Tutorials at-a-Glance

Message from General Chair

Panel, Keynote & Tutorial Speakers

Conference Location & Floor Plan

General Conference Information

About Singapore

Brief Contents

Panel Session: Future Research and Funding Challenges for Computational Intelligence

Details of Keynotes & Tutorials

Symposia & Workshops : Technical Programme

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 13)

IEEE Symposium on Artificial Life (IEEE ALIFE 2013)

IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (IEEE CCMB 2013)

IEEE Computational Intelligence Applications in Smart Grid (IEEE CIASG 2013)

Inside Front Cover

IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2013)

IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (IEEE CIBIM 2013)

IEEE Symposium on CI for Creativity and Affective Computing (IEEE CICAC 2013)

IEEE Symposium on Computational Intelligence in Control and Automation (IEEE CICA 2013)

IEEE Symposium on Computational Intelligence in Healthcare and e-Health (IEEE CICARE 2013)

IEEE Symposium on Computational Intelligence for Communication Systems and Networks (IEEE CIComms 2013)

IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS 2013)

IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013)

IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (IEEE CIDUE 2013)

IEEE Symposium on Computational Intelligence and Ensemble Learning (IEEE CIEL 2013)

IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES 2013)

IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (IEEE CIFEr 2013)

IEEE Symposium on Computational Intelligence for Human-like Intelligence (IEEE CIHLI 2013)

IEEE International Workshop on Computational Intelligence in Medical Imaging (IEEE CIMI 2013)

IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (IEEE CIMSIVP 2013)

IEEE Symposium on Computational Intelligence in Production and Logistics Systems (IEEE CIPLS 2013)

IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (IEEE CIRAT 2013)

IEEE Symposium on Computational Intelligence in Scheduling (IEEE CISched 2013)

IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2013)

IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS 2013)

IEEE Symposium on Evolving and Adaptive Systems (IEEE EAIS 2013)

IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI 2013)

IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (IEEE GEFS 2013)

IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE HIMA 2013)

IEEE Symposium on Intelligent Agents (IEEE IA 2013)

IEEE International Conference on Evolvable Systems (IEEE ICES 2013)

IEEE Workshop on Memetic Computing (MC 2013)

IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (IEEE MCDM 2013)

IEEE Workshop on Robotic Intelligence in Informationally Structured Space (IEEE RiiSS 2013)

IEEE Symposium on Differential Evolution (IEEE SDE 2013)

IEEE Symposium on Swarm Intelligence (IEEE SIS 2013)

IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE T2FUZZ 2013)

Author Index

Chair Index

Programme-at-a-Glance

1

2

3

5

6

7

8

10

27

30

32

34

36

40

41

43

45

48

49

51

55

56

57

60

62

64

64

66

67

68

70

71

73

74

76

78

79

80

82

83

85

87

89

93

95

109

Back Cover

Brief Contents


Message from General Chair

Message from General Chair

It is my great pleasure to welcome you to the 4th IEEE Symposium Series on Computational

Intelligence (IEEE SSCI 2013) in Singapore following the success of the inaugural

IEEE SSCI 2007 chaired by David Fogel in Honolulu, IEEE SSCI 2009 chaired by Vincenzo

Piuri in Nashville and IEEE SSCI 2011 (in Paris) chaired by Bernadette Bouchon-Meunier

who is also the Honorary Chair of IEEE SSCI 2013. CI methods are increasingly applied

to solve problems in diverse domains. Hence, IEEE SSCI was appropriately conceived to

offer a forum to bring all such applied researchers together under one umbrella.

Even though I was a tutorial speaker at all three previous editions of the IEEE SSCI, Singapore’s

IEEE SSCI 2013 journey commenced in December 2010 thanks to the approval of Singapore’s bid by

the IEEE CIS Adcom on the recommendation of the IEEE CIS conference committee chaired by Gary

Fogel. Since then, so many contributed to the success of IEEE SSCI 2013. There is no IEEE SSCI 2013

without the quality contributions made by the authors. In addition, IEEE SSCI 2013 is very fortunate

to have so many top quality panel, keynote and tutorial speakers. We sincerely thank them all.

Chairs of each event contributed exceptionally by attracting contributions, getting them reviewed,

making accept – reject recommendations, developing the programs and so on. With numerous chairs

and co-chairs, all submissions (co-)authored by chairs, co-chairs and general chair were handled by

CoI Chairs Gary Fogel and Hisao Ishibuchi who got such submissions reviewed offline in order to

maintain the anonymity of the reviewers. Even though our Finance Chair, Robert Kozma is far away

in the USA, he regularly interacted with us and shared his valuable experiences gained in organizing

numerous conferences. Tom Cholewo offered frequent assistance so that the paper submission and

review processes were completed smoothly. I also thank the international advisory committee and

the publicity committee for their valuable contributions to IEEE SSCI 2013.

Publication of IEEE SSCI proceedings is not a simple task. Our Publication Chair, Sundaram Suresh

has contributed immensely by registering every event with IEEE, ensuring the copyright submissions,

setting up the PDF Xpress account, checking plagiarism and by excluding the prohibited authors (who

have in the recent past violated IEEE’s publication ethics) from the published proceedings. These

checking processes turned out to be very time consuming and iterative. When we have a significant

keynote and tutorial program, there is also an associated responsibility shouldered by the respective

Chair, Swagatam Das.

Local arrangements demand attention to every little detail. I am in fact fortunate to enjoy excellent

support from many highly experienced and dedicated hands. Our conference manager, Alvin

Tan (Worldwide People Connection Pte Ltd, bktan@wpc-sg.com) has managed many conferences.

Alvin was regularly reminding me of the next step! Ra. Sankaran (Research Publishing Services,

sankaran@rpsonline.com.sg) took over the publication of program book and digital proceedings. In

fact, they contributed a lot to shape up this program book. It was a pleasure to work with Mohd Azhar

at the conference venue over the last 2 years. Joseph Lim (joseph@ELITE.SG) managed the registration

process. I also take this opportunity to thank our volunteers helping us in various ways. Playing

the General Chair role of IEEE SSCI 2013 has indeed been an enjoyable experience working with so

many individuals since December 2010.

We hope that all of you will benefit from the extensive technical program and establish long lasting

interactions with fellow delegates at SSCI 2013. Singapore is a dynamic city offering multicultural

experience and entertainments. I hope that you will not miss this opportunity to explore Singapore

and the neighboring countries!

2

P. N. Suganthan

General Chair, IEEE SSCI 2013,

Nanyang Technological University, Singapore


Panel Speaker

Gary Fogel

(page 8)

Panel/Keynote

Speaker

Jose Principe

(page 9)

Keynote Speaker

Leonid Perlovsky

(page 12)

Keynote Speaker

Hao Ying

(page 14)

Panel Speaker

Garry Greenwood

(page 8)

Panel/Keynote

Speaker

Paul Werbos

(page 10)

Keynote Speaker

Cuntai Guan

(page 12)

Keynote Speaker

Henrique Martins

(page 14)

Panel, Keynote & Tutorial Speakers

Panel Speaker

Hisao Ishibuchi

(page 8)

Panel/Keynote

Speaker

Xin Yao

(page 10)

Keynote Speaker

Hong Yan

(page 12)

Keynote Speaker

Amir Hussain

(page 15)

3

Panel/Keynote

Speaker

Chin-Teng (CT) Lin

(page 8)

Keynote Speaker

Huaguang Zhang

(page 10)

Keynote Speaker

Vladimir Brusic

(page 13)

Keynote Speaker

Ratan K. Guha

(page 15)

Panel Speaker

Nikhil R. Pal

(page 9)

Keynote Speaker

Katie Bentley

(page 11)

Keynote Speaker

Paulo Lisboa

(page 13)

Keynote Speaker

Alessandro

Sperduti

(page 15)

Panel/Keynote

Speaker

Marios Polycarpou

(page 9)

Keynote Speaker

Mikhail

Prokopenko

(page 11)

Keynote Speaker

Ioannis Pitas

(page 13)

Keynote Speaker

K. C. Tan

(page 16)

Panel, Keynote & Tutorial Speakers


Panel, Keynote & Tutorial Speakers

Keynote Speaker

Yaochu Jin

(page 16)

Keynote Speaker

Yew-Soon Ong

(page 18)

Keynote Speaker

AE (Gusz) Eiben

(page 21)

Keynote Speaker

Jayadeva

(page 23)

Keynote Speaker

David Corne

(page 25)

Keynote Speaker

Michael Beer

(page 17)

Keynote Speaker

Justin Dauwels

(page 19)

Keynote Speaker

Jacek Mańdziuk

(page 21)

Keynote Speaker

James M. Keller

(page 23)

Keynote Speaker

Wlodzislaw Duch

(page 26)

Panel, Keynote & Tutorial Speakers

Keynote Speaker

Valentin Ivanov

(page 17)

Keynote Speaker

Narasimhan

Sundararajan

(page 19)

Keynote Speaker

Sanghamitra

Bandyopadhyay

(page 21)

Keynote Speaker

Dipti Srinivasan

(page 24)

Keynote Speaker

Janusz Kacprzyk

(page 26)

4

Tutorial Speaker

Robert Marks

(page 17)

Keynote Speaker

Emilio Frazzoli

(page 20)

Keynote Speaker

Tetsuya Ogata

(page 22)

Keynote Speaker

Bijaya Ketan

Panigrahi

(page 24)

Tutorial Speaker

Hideyuki Takagi

(page 27)

Tutorial Speaker

Akira Namatame

(page 18)

Keynote Speaker

Witold Pedrycz

(page 20)

Keynote Speaker

Ferrante Neri

(page 22)

Keynote Speaker

Amit Kumar

(page 25)

Keynote Speaker

Vaclav Snasel

(page 27)

Keynote Speaker

Hussein Abbass

(page 18)

Keynote Speaker

Erik Cambria

(page 20)

Keynote Speaker

Swagatam Das

(page 22)

Keynote Speaker

Chrystopher

Nehaniv

(page 25)

Keynote Speaker

Suresh Sundaram

(page 27)


Conference Location & Floor Plan

The conference Hotel is Grand Copthorne Waterfront Hotel, Havelock Road, Singapore. It is a Five Star Hotel with about

570 rooms & suites. To know more, please visit:

www.millenniumhotels.com.sg/grandcopthornewaterfront/index.html



Level 3

Level 4



5



Conference Location & Floor Plan


General Conference Information

Registration

General Conference Information

Registration Desk will be open 2 pm – 6 pm on Monday, 15th April and every day from Tuesday to Friday from 8 am.

Contact numbers are 68755563 and 96973922.

Meals & Tickets

Please remember to collect and check your buffet dinner, lunch and banquet tickets during the registration. You must hand

over these tickets to hotel management at the time you enter the Grand Ballroom on Level 4. Lunch meal choices include

Indian vegetarian and international. All food served during the conference strictly exclude pork and lard. As complementary

food and beverages are served for registered delegates, all delegates are requested to wear the name tags while on levels

3 and 4, as requested by the hotel management.

Internet Access

We are making arrangements to offer free wireless internet access to delegates to check their emails. The connection will

be for a limited time at each login. We may also offer a few laptops to check emails (yet to be confirmed). However, we

encourage delegates to bring and use their own devices to connect to the wireless internet.

Technical Sessions

Panel session will be held in the Grand Ballroom from 3.30 pm to 5.30 pm on Tuesday. All keynote and tutorial lectures

will be on Level 3 in Rooms Galleria and Lyrebird. Posters will be displayed on Level 4 from 9.30 am to 4.30 pm. However,

authors are expected to be near their posters during the tea-breaks. Poster boards have 1.25 m (tall) × 1 m (wide) space

to display your posters. Please remember to collect your posters at 4.30 pm on each day as the left behind posters will be

removed and the boards will be used by other delegates on the following day.

Oral session chairs are requested to arrive 5 minutes before the start of each session. Each oral presentation room will

have an assistant. If the appointed session chair does not arrive at the start time, assistant will request a delegate to act as

the session chair whose primary responsibility is to keep each session within the allotted time.

A presenter is expected to arrive before the session commences so that the presenter and chair can introduce each other.

Each presentation is 20 minutes long including Q & A and change over time. Please also bring your own laser pointer for

your presentation, if required. Presenters are encouraged to use the given laptop to present PPT or PDF slides. If a particular

presentation requires special software, the presenter will have to bring a suitable laptop. In this case, the presenter is asked

to test whether the slides and other contents are properly projected onto the screen well before the actual session time.

Meetings & Other Activities

Several meetings and activities are planned during the IEEE SSCI 2013. Most of these events are by invitation only.

Meeting Time Day/Date Venue

Fuzzy TC Meeting 8.50 am to 10.10 am Tuesday 16th April Bluebird Room on Level 4

ISCAT Meeting 12.20 pm to 1.40 pm Tuesday 16th April Bluebird Room on Level 4

ALIFE-TF Meeting 12.20 pm to 1.40 pm Tuesday 16th April Canary II Room on Level 4

DMTC Meeting 1.40 pm to 3.20 pm Tuesday 16th April Bluebird Room on Level 4

Senior Member Elevation Clinic 2.00 pm to 4.00 pm Tuesday 16th April Near Registration Desk

BBTC Meeting 10.40 am to 12.20 pm Wednesday 17th April Bluebird Room on Level 4

ETTC Meeting 12.20 pm to 1.40 pm Wednesday 17th April Bluebird Room on Level 4

WCI Meeting 12.20 pm to 1.40 pm Wednesday 17th April Oriole Room on Level 4

CIASG-TF Meeting 12.20 pm to 1.40 pm Wednesday 17th April Canary II Room on Level 4

Senior Member Elevation Clinic 2.00 pm to 4.00 pm Wednesday 17th April Near Registration Desk

ADPRLTC Meeting 3.50 pm to 5.30 pm Wednesday 17th April Bluebird Room on Level 4

Standards Committee 12.20 pm to 1.40 pm Thursday 18th April Bluebird Room on Level 4

Meeting

Games-TC Meeting 12.20 pm to 1.40 pm Thursday 18th April Canary II Room on Level 4

FML, ECML and XES 3.50 pm to 5.30 pm Thursday 18th April Kingfisher Room on Level 4 (Open to all)

Standardization Meeting

CFETC Meeting 10.40 pm to 12.20 pm Friday 19th April Bluebird Room on Level 4

6


About Singapore

Singapore is a dynamic city rich in contrast and color where you can find a harmonious blend of culture, cuisine, arts

and architecture. The city offers countless unique, memorable experiences waiting to be discovered. Singapore has grown

into a thriving centre of commerce and industry. Singapore’s Central Business District spreads across both the central

and southern parts of the island. Singapore’s geographical location is 136.8 km north of the equator, between latitudes

103 ◦ 38’E and 104 ◦ 06’E. For more information please visit Your Singapore – Singapore Tourism Board’s official tourism website

www.yoursingapore.com.

Key Information at a Glance

Climate

Singapore is known for its hot and humid weather, with little variation throughout the year. The average daytime temperature

is 31 ◦ C (88 ◦ F), dropping to around 24 ◦ C (75 ◦ F) in the evenings.

People

The population is just over 4 million. Ethnic Chinese form 74.2% of the Singaporean population, with the country’s original

inhabitants – the Malays, comprising of 13.4%. The Indians make up 9.2%, and Eurasians, Peranakans and others making

up a combined 3.2%.

Language

English is the main working language in Singapore. Other official languages used are Mandarin, Malay and Tamil.

Transportation

Getting around Singapore is fairly easy: the public transportation system (MRT, LRT and buses) is relatively easy to use and

taxis are reasonably priced when you can get one. Most people arrive in Singapore by air. Its status as a major airline hub in

Asia makes Singapore a natural starting or ending point for a multi-country tour of Southeast Asia. Most large international

airlines have routes to Singapore, in addition to the island’s own highly regarded airline, Singapore Airlines.

Currency

The currency used in Singapore is the Singapore dollar (S$). Money changing services can be found not only at the

Singapore Changi Airport but also at most shopping centres and hotels around the island. You can also access the automated

teller machines (ATMs) located everywhere in Singapore, that accept most of the main credit cards such as Visa, Master Card

and American Express.

Visa

Most foreigners coming into Singapore do not require visas for entry and may be given social visit passes for up to 30 days

upon their arrival in Singapore. However, it is best to consult your local consular office for the latest information with regards

to coming into Singapore. If you would like to stay in Singapore for a longer period, you may apply to the Immigration &

Checkpoints Authority (ICA) upon your arrival. You should have a valid passport with at least 6 months validity, onward

or return tickets, onward facilities (such as visas or entry permits) to your next destination, and of course, sufficient funds

for your stay in Singapore.

Electricity

Singapore uses the "Type G" (British 3-pin rectangular blade) electrical plug. Voltage is 230 V, 50 Hz.

Cell Phone Usage

Singapore’s international dialing code is +65. While in Singapore if you have international roaming service on your cell

phone, you do not have to press +65 as it will automatically connect you to the local numbers here.

Useful Telephone Numbers

Conference Secretariat (65) 68755563 / 96973922

Emergency/Medical Police 999 (toll-free)

Ambulance 995 (toll-free) 1777 (non-emergency)

Flight Information 1800 542 4422

Singapore Immigration Department (65) 6391 6100

Singapore Tourism Board 24 hrs Touristline 1800 736 2000

Global Refund Singapore (GST Refund) (65) 6225 6238

Credit Cards

American Express 1800-296-0220

Visa Global Customer Assistance 800-4481-250

MasterCard Global Service 800-1100-113

Diners Club (65) 6292 7566

7

Taxi Service

Dial-A-Cab (65) 6342 5222

CityCab (65) 6552 1111

Comfort Taxi (65) 6552 1111

SMRT Taxis (65) 6555 8888

SMART Cabs (65) 6485 7777

TransCab (65) 6555 3333

Premier Taxis (65) 6363 6888

Prime Taxi (65) 6778 0808

Yellow-Top Taxi (65) 6293 5545

About Singapore


Panel Session

IEEE SSCI 2013: Panel Session

Panel: Future Research and Funding Challenges for Computational Intelligence

Date/Time: 15.30 – 17.30, Tue. 16 April Venue: Grand Ballroom Level 4

Chair & Moderator: Xin Yao

Dr. Gary Fogel, Natural Selection Inc., USA.

Dr. Gary B. Fogel joined Natural Selection, Inc. in 1998 after completing the Ph.D. in biology from UCLA. His current research

interests focus on the application of computational intelligence methods to problems in the biomedical sciences. These

include biomarker discovery, sequence analysis, microRNA discovery, drug design, improved diagnosis, and biomedical

pattern recognition. Dr. Fogel leads Natural Selection, Inc.’s efforts in biomedicine but also has led projects for industrial

and defense related applications.

Dr. Fogel is a Fellow of the IEEE and member of Sigma Xi. He currently serves as editor-in-chief of BioSystems and as

an associate editor for IEEE Transactions on Evolutionary Computation. He co-edited a volume on Evolutionary Computation

in Bioinformatics published in 2003 (Morgan Kaufmann) and Computational Intelligence in Bioinformatics, published in 2008

(Wiley-IEEE Press). Dr. Fogel has assisted with many conferences and served as Conference Chair for the 2010 IEEE Congress

on Evolutionary Computation, and as general chair for the 2004 and 2005 IEEE Symposia on Computational Intelligence

in Bioinformatics and Computational Biology. Dr. Fogel serves on the IEEE Computational Intelligence Society Executive

Committee (ExCom) as Vice President for Conferences (2010 – 2012).

Dr. Fogel’s responsibilities as CEO are to provide leadership towards maintaining Natural Selection, Inc.’s excellence in

real-world applications of computational intelligence methods. Dr. Fogel assists in developing and advancing a company

strategic plan for its mission and objectives and promotes revenue, profitability, and growth. Dr. Fogel oversees business

operations to ensure production efficiency, quality, service, and cost-effective management of resources. He assists in developing

and authorizing company operational procedures, policies, and standards.

Dr. Garry Greenwood, Portland State University, USA.

Garrison Greenwood received a Ph.D. in Electrical Engineering from the University of Washington in Seattle, Washington.

After spending more than a decade in industry designing multiprocessor embedded system hardware he entered

academia. Since 2000 he has been a professor in the Department of Electrical and Computer Engineering at Portland State

University in Portland, Oregon. He has served on numerous conference organizing committees including the General Chair

of the IEEE Congress on Evolutionary Computation in 2004 and 2012. From 2006 to 2009 he was the Vice-President (Conferences)

for the IEEE Computational Intelligence Society. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary

Computation. His research interests are evolutionary game theory, agent-based systems and evolvable/adaptive

hardware. Dr. Greenwood is a registered profession electrical engineer in the State of California.

Dr. Hisao Ishibuchi, Osaka Prefecture University, Japan.

Dr. Hisao Ishibuchi has been a full professor at Graduate School of Engineering, Osaka Prefecture University since 1999. His

research interests include evolutionary multiobjective optimization, fuzzy rule-based classifiers, and evolutionary games.

He received a JSPS Prize in 2007, and a Best Paper Award from GECCO 2004, HIS-NCEI 2006, FUZZ-IEEE 2009, WAC 2010,

SCIS & ISIS 2010 and FUZZ-IEEE 2011. Currently, he is the IEEE CIS Vice-President for Technical Activities, and an Associate

Editor of IEEE CIM, IEEE T-FS, IEEE T-EVC, IEEE T-CYB, and IEEE Access. He is also a Program or Technical Co-Chair of

SSCI 2013, CEC 2013, FUZZ-IEEE 2013, and CEC 2014.

Dr. Chin-Teng (CT) Lin, National Chiao-Tung University, Taiwan.

Professor Chin-Teng Lin received the B.S. degree from National Chiao-Tung University (NCTU), Taiwan in 1986, and the

Master and Ph.D. degree in electrical engineering from Purdue University, USA in 1989 and 1992, respectively. He is currently

the Provost, Lifetime Chair Professor of Electrical and Computer Engineering, and Director of Brain Research Center,

National Chiao Tung University. He is also invited as the International Faculty of University of California at San-Diego

(UCSD) from 2011 to 2013. Professor Lin was elected to be an IEEE Fellow for his contributions to biologically inspired information

systems in 2005. He was awarded the Outstanding Electrical and Computer Engineer (OECE) by Purdue University

in 2011. Professor Lin has also served as the Editor-in-Chief (EIC) of IEEE Transactions on Fuzzy Systems (Impact Factor:

4.26, Top 4.5% of all 111 Computer Science journals, and 3.5% of 244 Electrical Engineering category) since 2011; he is the first

and only one EIC of IEEE journals from Taiwan. Professor Lin is also the Co-Founding Editor-in-Chief of Journal of Neuroscience

and Neuroengineering published by American Scientific Publishers since 2012. He received the Merit NSC Research

Fellow Award by National Science Council (NSC) of Taiwan in 2007, the highest and lifetime research achievements award

in Taiwan NSC; he was the youngest one receiving this awards.

Professor Lin has been granted a project Cognition and Neuroergonomics; Collaborative Technology Alliance (CTA) from

2010 to 2014 by Army Research Lab of USA, the first time that ARL supports on Taiwan’s organization for cognition research,

8


IEEE SSCI 2013: Panel Session

and it is one of the major projects of neuroscience and engineering research in USA. Professor Lin has published about

170 journal papers (including more than 70 High Impact papers), 2 text books, and over 200 conference papers. He also has

26 approved patents in total over 50 issued patents. According to the statistics of Google Scholar, Prof. Lin’s h-Index is 36

(with 36 papers receiving more than 36 citations) and total citation is 8778.

Dr. Nikhil R. Pal, Indian Statistical Institute, India.

Nikhil R. Pal is a Professor in the Electronics and Communication Sciences Unit of the Indian Statistical Institute. His current

research interest includes bioinformatics, brain science, fuzzy logic, image and pattern analysis, neural networks, and

evolutionary computation.

He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems for the period January 2005-December 2010. He

has served/been serving on the editorial/advisory board/steering committee of several journals including the International

Journal of Approximate Reasoning, Applied Soft Computing, Neural Information Processing — Letters and Reviews, International

Journal of Knowledge-Based Intelligent Engineering Systems, International Journal of Neural Systems, Fuzzy Sets

and Systems, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Fuzzy Information

and Engineering: An International Journal, IEEE Transactions on Fuzzy Systems and the IEEE Transactions on Systems Man

and Cybernetics — B.

He has given many plenary/keynote speeches in different premier international conferences in the area of computational

intelligence. He has served as the General Chair, Program Chair, and co-Program chair of several conferences. He was

a Distinguished Lecturer of the IEEE Computational Intelligence Society (CIS) and was a member of the Administrative

Committee of the IEEE CIS (2010-2012). At present he is the Vice President for Publications of the IEEE CIS. He is the

General Chair of 2013 IEEE International Conference on Fuzzy Systems.

He is a Fellow of the National Academy of Sciences, India, a Fellow of the Indian National Academy of Engineering,

a Fellow of the Indian National Science Academy, a Fellow of the International Fuzzy Systems Association (IFSA), and a

Fellow of the IEEE, USA.

Dr. Marios Polycarpou, University of Cyprus, Cyprus.

Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Center

for Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and the

B.Sc. degree in Electrical Engineering both from Rice University, USA in 1987, and the M.S. and Ph.D. degrees in Electrical

Engineering from the University of Southern California, in 1989 and 1992 respectively. In 1992, he joined the University

of Cincinnati, Ohio, USA, where he reached the rank of Professor of Electrical and Computer Engineering and Computer

Science. In 2001, he was the first faculty to join the newly established Department of Electrical and Computer Engineering

at the University of Cyprus, where he served as founding Department Chair from 2001 to 2008. His teaching and research

interests are in intelligent systems and networks, automation and computational intelligence, fault diagnosis and distributed

systems. Dr. Polycarpou has published more than 220 articles in refereed journals, edited books and refereed conference proceedings,

and he is the holder of 3 patents. Prof. Polycarpou is a Fellow of the IEEE and currently serves as the President of

the IEEE Computational Intelligence Society. He has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks

and Learning Systems between 2004 – 2010. He has been invited as Keynote Plenary Speaker at 15 international conferences

during the last three years and is currently an IEEE Distinguished Lecturer in computational intelligence. He participated in

more than 50 research projects/grants, funded by several agencies and industry in the European Union, the United States,

and by the Research Promotion Foundation of Cyprus. He has recently been awarded the prestigious European Research

Council (ERC) Advanced Grant by the European Commission.

Dr. Jose Principe, University of Florida, USA.

Jose C. Principe (M’83-SM’90-F’00) is a Distinguished Professor of Electrical and Computer Engineering and Biomedical

Engineering at the University of Florida where he teaches advanced signal processing, machine learning and artificial neural

networks (ANNs) modeling. He is BellSouth Professor and the Founder and Director of the University of Florida Computational

Neuro Engineering Laboratory (CNEL) www.cnel.ufl.edu. His primary area of interest is processing of time varying

signals with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on information

theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces

(both motor as well as somatosensory feedback).

Dr. Principe is an IEEE, ABME, AIBME Fellow. He is the Past-Editor in Chief of the IEEE Transactions on Biomedical

Engineering, past Chair of the Technical Committee on Neural Networks of the IEEE Signal Processing Society, and Past-

President of the International Neural Network Society. He received the IEEE EMBS Career Award, and the IEEE Neural

Network Pioneer Award. He has Honorary Doctor Degrees from the U. of Reggio Calabria Italy, S. Luis Maranhao Brazil

and Aalto U. in Finland. Currently he is the Editor in Chief of the IEEE Reviews in Biomedical Engineering. Dr. Principe has

more than 600 publications. He directed 73 Ph.D. dissertations and 65 Master theses. He wrote four books: an interactive

electronic book entitled “Neural and Adaptive Systems: Fundamentals through Simulation” (Wiley), “Brain Machine Interface

Engineering”, Kernel Adaptive Filtering (Wiley), and Information Theoretic Learning (Springer).

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Panel Session

Dr. Paul Werbos, National Science Foundation, USA.

Details of Keynotes & Tutorials

Dr. Paul Werbos has responsibility for the following Core ECCS areas: Adaptive and Intelligent Systems (AIS), Quantum

systems and device modeling (QMHP), and systems-level power grids (GRID). Use of these acronyms in a proposal title

would encourage us to handle them in the panels for those areas. Also handles the EFRI 2008 topic in Cognitive Optimization

and Prediction (engineering-neuroscience collaboration to reverse engineer intelligence).

Dr. Werbos has led a variety of other areas, such as fuel cell and electric vehicles, emerging technologies, cyber systems

and the sustainability part of IDR since he started at NSF in 1988. He is a Fellow of IEEE and INNS, a winner of the IEEE

Neural Networks Pioneer Award and winner of the Hebb Award for 2011 from the International Neural Network Society

(INNS). The Hebb Award is INNS’s highest award, to honor substantive contributions to the understanding of biological

learning systems. The biography going with this award reads:

Paul Werbos began training as a mathematician, taking many university courses culminating in the graduate course in

logic from Alonzo Church at Princeton while in middle and high school. Realizing the limits of deductive logic, he began

his quest to understand inductive logic and intelligence in the mind back in those days, inspired by the work of John Von

Neumann, Donald Hebb and early AI (Feigenbaum and Feldman). He obtained two degrees in economics from Harvard

and the London School of Economics, divided equally between using mathematical economics as a model for distributed

intelligence and developing some broader understanding. For his Harvard M.S., he took courses in quantum field theory

(QFT) from Julian Schwinger, but did not fully understand the subject until many years later, after he started an activity in

quantum technology and modeling at NSF (see his papers at http://arxiv.org/.) For his 1974 Harvard PhD thesis (reprinted

in The Roots of Backpropagation, Wiley 1994), he proposed the development of more powerful, more biologically plausible

reinforcement learning systems by the then new idea of using neural networks to approximate dynamic programming

(ADP), including the value function. In order to implement ADP in a local biologically plausible manner, he translated

Freud’s theory of “psychic energy” into an algorithm later called backpropagation, and a rigorous general theorem, the

chain law for ordered derivatives, which later also became known as the reverse method or adjoint method for automatic

or circuit-level differentiation. He has spent many years advancing the fields of ADP and backpropagation and brain-like

prediction, aimed at developing and demonstrating the kind of designs which could actually explain the kind of general

intelligence we see in the brain and in subjective human experience – collaborating at times with Karl Pribram and Walter

Freeman and Pellionisz among others, and proposing biological experiments to test the theory. In looking for applications

which are really important to areas like energy, sustainability and space, he has also gotten deep into domain issues and

organization, as reflected at http://www.werbos.com/, serving on boards of the National Space Society, the Millennium

Project, the Lifeboat Foundation, and the IEEE Energy Policy Committee, and as a Fellow in the Senate in 2009. From 1980

– 1989, he developed official econometric forecasting models (two based on backpropagation) and was lead analyst for the

long-term future at EIA in the Department of Energy.

Dr. Xin Yao (Moderator, Chair), University of Birmingham, UK.

Xin Yao is a Chair (Professor) of Computer Science and the Director of CERCIA (the Centre of Excellence for Research in

Computational Intelligence and Applications), University of Birmingham, UK. He is an IEEE Fellow and a Distinguished

Lecturer of IEEE Computational Intelligence Society (CIS). His work won the 2001 IEEE Donald G. Fink Prize Paper Award,

2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, 2010 BT Gordon Radley Award for Best

Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other

best paper awards at conferences. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and was

selected to receive the 2013 IEEE CIS Evolutionary Computation Pioneer Award. He was the Editor-in-Chief (2003 – 08) of

IEEE Transactions on Evolutionary Computation. He has been invited to give more than 70 keynote/plenary speeches at

international conferences.

His major research interests include evolutionary computation and ensemble learning. He has more than 400 refereed

publications in international journals and conferences.

Details of Keynotes & Tutorials

Keynote: Intelligent Adaptive Optimal Control: Algorithms and Stability

Event: IEEE ADPRL – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 13.30 – 14.30, Wed. 17 April 2013 Chair(s): Marco Wiering

Speaker: Huaguang Zhang

Huaguang Zhang received the Ph.D. degree from SoutheastUniversity, Nanjing, China, in 1991. From 1992 to 1994, he did

his postdoctoral research at NortheasternUniversity, Shenyang, China. He has been with NortheasternUniversity since 1991,

and is currently as a Full Professor and Head of Electrical Automation Institute, NortheasternUniversity. He has authored

and coauthored over 200 journal and conference papers, five monographs and co-invented more than 20 patents. He has

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been serving as an Associate Editor of Automatica since 2008, an Associate Editor of IEEE Transactions on Neural Networks

since 2009, an Associate Editor of IEEE Transactions on Fuzzy Systems since 2008, and an Associate Editor of IEEE

Transactions on Systems, Man, and Cybernetics-Part B since 2007. He served as Chair or Co-Chair of more than 30 international

conferences. He was the recipient of National Excellent Young Science Foundation Award in 2003 and Excellent

Young Professor Award of China in 2002. He was nominated as the Changjiang Scholar by China Education Ministry in

2005, and was awarded National Excellent Postdoctoral Research Fellow Award in 2005, China. He received a second prize

of State Technological Invention in 2007 and a second prize of State Scientific and Technological Progress in 2010 from the

Chinese government, respectively. He has been serving as the Chairman of IEEE Shenyang subsection and the Chairman of

IEEE Computational Intelligence Society Shenyang Chapter since 2010. He has also been a Chair of the Adaptive Dynamic

Programming and Reinforcement Learning (ADPRL) Technical Committee of the IEEE Computational Intelligence Society

since 2012. His current research interests include Adaptive Dynamic Programming, Fuzzy System Theory, Fuzzy Control,

Neural Network-Based Control, Adaptive Control, Chaotic Control, and Complex Industry Process Automation.

Keynote: General-purpose RLADP: Solving the Scaling Problem

Event: IEEE ADPRL – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 14.30 – 15.30, Wed. 17 April 2013 Chair(s): Marco Wiering

Speaker: Paul Werbos

For biography, please refer page no – 10

Keynote: Artificial Life in the Fight Against Cancer (paper #1032)

Event: IEEE ALIFE – 2013 Venue: Lyrebird Level 3

Date/Time: 10.30 – 11.30, Tue. 16 April 2013 Chair(s): Chrystopher Nehaniv

Speaker: Katie Bentley

Dr. Katie Bentley is a senior scientific officer in the Vascular Biology Laboratory, Cancer Research UK, London Research

Institute. She has just been made a PI in the Pathology Dept of Beth Israel Hospital, Harvard Medical School, and is in the

processes of starting a new interdisciplinary modelling group to study morphogenesis in vascular diseases. She has recently

developed a strong international reputation for building an unusually predictive agent-based model focused on the plasticity

of vascular morphogenesis mechanisms under different conditions through a “symbiotic” approach of modelling with near

total immersion into the experimentalists world. She originates from the Artificial Life community at Sussex University

(EASy MSc 2002) and went on to gain her PhD from UCL (2006) in the area of environmentally driven morphogenesis

of natural and artificial systems, collaborating with biologists at the Natural History Museum, London. She is a regularly

solicited reviewer for computational and biological journals on vascular modelling topics and has been an invited speaker

at numerous international conferences, most recently: Gordon Research Conference Endothelial Cell Phenotpyes in Health

and Disease (Tuscany 2011).

Keynote: Information Dynamics at the Edge of Chaos (paper #1031)

Event: IEEE ALIFE – 2013 Venue: Lyrebird Level 3

Date/Time: 15.30 – 16.30, Wed. 17 April 2013 Chair(s): Hiroki Sayama

Speaker: Mikhail Prokopenko

Dr. Mikhail Prokopenko is a Principal Research Scientist in CSIRO ICT Centre, Sydney, Australia. He has a strong international

reputation in the areas of complex self-organizing systems, with 120 publications and patents, including an edited

book (“Advances in Applied Self-organizing Systems”, Springer, 2008). He received a PhD in Computer Science (2002, Australia),

and MSc in Applied Mathematics (1988, USSR). Dr. Prokopenko has co-organized and co-chaired the series of International

Workshops on Guided Self-organization (GSO); was a keynote speaker at 3rd International Workshop on Computation

in Cyber-Physical Systems (Mexico, 2012), NeFF-Workshop on Non-linear and model-free Interdependence Measures

in Neuroscience (Germany, 2012), GSO-2010 (USA) and other events. Most recently, Dr. Prokopenko served as an editor of

special issues on Complex Networks (Artificial Life), and Guided Self-organization (HFSP, Theory in Biosciences, Advances

in Complex Systems), and a section editor for Encyclopaedia of Machine Learning (Evolutionary Computation). He is an

Honorary Associate at University of Sydney.

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Keynotes & Tutorials

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Keynote: Language and Cognition:Concepts, Emotions and Music

Event: IEEE CCMB – 2013 Venue: Lyrebird Level 3

Date/Time: 14.30 – 15.30, Tue. 16 April 2013 Chair(s): Sundaram Suresh

Speaker: Leonid Perlovsky

Dr. Leonid Perlovsky is Visiting Scholar at Harvard University, Principal Research Physicist and Technical Advisor at the Air

Force Research Laboratory. He leads research on cognitive algorithms for detection, tracking fusion, mathematical models

of the mind, language and cognition, evolution of cultures. As Chief Scientist at Nichols Research, a $500 mm high-tech

organization, he led the corporate research in intelligent systems. He served as professor at Novosibirsk University and New

York University; as a principal in commercial startups developing tools for biotechnology, text understanding, and financial

predictions. He is invited as a keynote plenary speaker and tutorial lecturer worldwide; published more than 450 papers; 12

book chapters; and 4 books including “Neural Networks and Intellect,” Oxford University Press, 2001 (currently in the 3rd

printing) and “Emotional, Cognitive, Neural Algorithms with Engineering Applications,” Springer 2011; awarded 2 patents.

Dr. Perlovsky is active at the IEEE and the International Neural Network Society (INNS); he serves on the INNS Board of

Governors, as a Chair of The Award Committee. He serves on the Editorial Board of twelve professional journals, including

Editor-in-Chief for “Physics of Life Reviews” (IF=7.2, T-F rank#4 in the world). He received National and International

awards including the Best Paper Award 2001 from Zvezda, a leading Russian essayistic magazine; the Gabor Award 2007,

the top engineering award from the INNS; and the John McLucas Award 2007, the highest US Air Force Award for basic

research.

Keynote: Brain-Computer Interface and its Potential New Applications

Event: IEEE CCMB – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 11.30 – 12.30, Thu. 18 April 2013 Chair(s): Kai Keng Ang

Speaker: Cuntai Guan

Dr. Cuntai Guan received his Ph.D. degree in Electrical and Electronic Engineering from Southeast University in 1993. He

is a Principal Scientist and Department Head at the Institute for Infocomm Research, Agency for Science, Technology and

Research (A*STAR), Singapore. His current research interests include neural and biomedical signal processing; neural and

cognitive process and its clinical application; brain – computer interface algorithms, systems and its applications. He was

the recipient of several awards including g.tec Annual BCI Research Award 2010, IES Prestigious Engineering Achievement

Award 2009, etc. He has published over 160 refereed journal and conference papers and holds 13 granted patents and applications.

He delivered over 30 keynote and invited talks. He serves in the editorial board of IEEE Access, IEEE Transactions

on Biomedical Engineering, and Frontiers in Neuroprosthetics. He is a senior member of IEEE.

Keynote: How to Get Real Benefits from Real Intelligence in the Grid

Event: IEEE CIASG – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 11.30 – 12.30, Tue. 16 April 2013 Chair(s): Ganesh Kumar Venayagamoorthy

Speaker: Paul Werbos

For biography, please refer page no – 10.

Keynote: Pattern Recognition Methods for Biomolecular Data Analysis

Event: IEEE CIBCB – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 15.30 – 16.30, Wed. 17 April 2013 Chair(s): Jung-Hsien Chiang

Speaker: Hong Yan

Hong Yan received his Ph.D. degree from Yale University. He was Professor of Imaging Science at the University of Sydney

and is currently Professor of Computer Engineering at City University of Hong Kong. His research interests include image

processing, pattern recognition and bioinformatics, and he has over 300 journal and conference publications in these areas.

Professor Yan was elected an IAPR fellow for contributions to document image analysis and an IEEE fellow for contributions

to image recognition techniques and applications.

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Keynote: Knowledge-based systems in immunology: data mining of vaccine targets from viral pathogens

Event: IEEE CIBCB – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 8.30 – 9.30, Thu 18 April 2013 Chair(s): Tuan Pham

Speaker: Vladimir Brusic

Dr. Brusic is the Director of the Cancer Vaccine Center Bioinformatics Core at Dana-Farber Cancer Institute, and Principal

Associate in Medicine Harvard Medical School. He is also a Professor of Computer Science at the Metropolitan College,

Boston University. Previously, Dr. Brusic worked at the Walter and Eliza Hall Institute, Melbourne, Australia as bioinformatician,

and at the Institute for Infocomm Research, Singapore where he was head of the Knowledge Discovery Department,

and University of Queensland where he was Professor of Bioinformatics and Database Management.

Dr. Brusic holds BEng (Mechanical Engineering), MEng (Biomedical Engineering), MAppSci (Info Tech), MBA, and PhD

degrees. He also holds a honorary doctorate (Doctor honoriscausa) from Semmelweis University, Budapest, Hungary. His

research interests span the fields of biological databases, data mining, computational models of biological systems, simulation

of molecular interactions, and biological discovery using simulation of laboratory experiments. The main focus of his

work is computational modeling of complex biological systems such as immune system genome, and proteome.

He works on the development and application of computational methods in immunology and computer-aided development

of vaccines. He has contributed a number of pioneering studies in computational immunology and immuneinformatics.

He introduced the use of several advanced machine learning techniques and developed novel algorithms for

identification of T-cell epitopes and selection of vaccine targets. His current work includes development of computational

solutions for the study of B-cell epitopes and integrative approaches to vaccine formulations. He is developing knowledgebased

systems for biological data mining and knowledge discovery. Dr. Brusic is member of several editorial boards of

scientific journals and has contributed to numerous scientific meetings.

Keynote: Interpretability in Computational Intelligence

Event: IEEE CIBCB – 2013 Venue: Lyrebird Level 3

Date/Time: 9.30 – 10.30, Thu. 18 April 2013 Chair(s): Tuan Pham

Speaker: Paulo Lisboa

Paulo Lisboa is Professor in Industrial Mathematics in the School of Computing and Mathematical Sciences at Liverpool

John Moores University and Research Professor at St Helens & Knowsley Teaching Hospitals. His research is focused on

computer-based decision support in healthcare and data analytics in public health, sports science and computational marketing.

In particular he has an interest in principled approaches to interpretable modelling of non-linear data and processes.

He has over 250 refereed publications with awards for citations. He chairs the Medical Data Analysis Task Force in the

Data Mining Technical Committee of the IEEE-CIS and is Associate Editor for IET Science Measurement and Technology,

Neural Computing Applications, Applied Soft Computing and Source Code for Biology and Medicine. He is also a member

of the EPSRC Peer Review College and an expert evaluator for the European Community DG-INFSO.

Keynote: Discriminant Non-negative Matrix Factorization for Facial Image Analysis

Event: IEEE CIBIM – 2013 Venue: Lyrebird Level 3

Date/Time: 11.30 – 12.30, Tue. 16 April 2013 Chair(s): Kar-Ann Toh

Speaker: Ioannis Pitas

Ioannis Pitas received the Diploma of Electrical Engineering in 1980 and the PhD degree in Electrical Engineering in 1985,

both from the University of Thessaloniki, Greece. Since 1994 he has been a Professor at the Department of Informatics,

University of Thessaloniki, Greece. From 1980 to 1993 he served as Scientific Assistant, Lecturer, Assistant Professor, and

Associate Professor in the Department of Electrical and Computer Engineering at the same University. He leads funded

R&D projects in CERTH/ITI. He is an IEEE fellow (2007), IEEE Distinguished Lecturer (2012) and EURASIP fellow (2013).

He served as Visiting Professor and ASI fellow at the University of British Columbia, Canada, as Visiting Professor at Yonsei

University, Korea, EcolePolytechniqueFederale de Lausanne, Switzerland, at Tampere University of Technology, Finland, as

Visiting Assistant Professor at the University of Toronto and as a Visiting Research Associate at the University of Toronto,

Canada and at the University of Erlangen-Nuernberg, Germany. He was Chair of the School of Graduate studies in computer

science at the University of Thessaloniki. He cooperates with CERTH/ITI in funded R&D projects. His current interests

are in the areas of intelligent digital media, digital image/video processing, multimedia signal processing, human centered

computing computational intelligence and computer vision. He has published over 700 papers, contributed in 39 books and

authored, co-authored, edited, co-edited 8 books in his area of interest. He is the co-author of the books “Nonlinear Digital

Filters: Principles and Applications” (Kluwer, 1990), ’3D image processing algorithms’ (Wiley, 2000). He is the author of the

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books ’Digital Image Processing Algorithms’ (Prentice Hall, 1993), ’Digital image processing algorithms and applications’

(Wiley, 2000), ’Digital image processing’ (in Greek, 1999). He is the editor of the book “Parallel Algorithms and Architectures

for Digital Image Processing, Computer Vision and Neural Networks” (Wiley, 1993) and co-editor of the book ’Nonlinear

Model-Based Image/Video Processing and Analysis’ (Wiley, 2000). He is also the editor of the book “Digital Television and

digital video processing” (in Greek, 2010). Dr Pitas has been member of the European Community ESPRIT Parallel Action

Committee. He had 10 academic occupation and visits in universities abroad. He co-organized 12 special sessions in conferences,

8 special issues in scientific journals. He is/was editor in 22 journals. He gave 49 invited lectures, was member of

the program committee of more than 248 scientific conferences and workshops and was chair of more than 39 conference

sessions. He supervised 16 completed PhD theses. He was reviewer in 52 scientific journals, 290 conferences, 33 R&D funding

agencies and 4 publishers. He participated in 20 national and international committees and he had a major role in the

organization of 14 conferences. He participated in 67 R&D projects, is/was principal investigator/researcher in 40 competitive

R&D projects, mostly funded by the European Union. He is/was Associate Editor of the IEEE Transactions on Circuits

and Systems, IEEE Transactions on Neural Networks, IEEE Transactions on Image processing, IJIG Journal, IEICE, Circuits

Systems and Signal Processing (CSSP), co-editor of Multidimensional Systems and Signal Processing, member of the editorial

board of 6 journals and guest editor in 8 special journal issues. He was chair of the 1995 IEEE Workshop on Nonlinear

Signal and Image Processing (NSIP95). He was technical chair of the 1998 European Signal Processing Conference. He was

the general chair of IEEE ICIP2001. He was co-chair of the 2003 International workshop on Rich media content production.

He was technical co-chair of the 2003 Greek Informatics conference (EPY). He was chair of the TC on Digital Signal Processing

of the IEEE Circuits and Systems Society. He was vice-chair of the TC on image processing and multidimensional

signal processing of the IEEE Signal Processing Society. He was member of the National Research Council of Greece. He has

received the 2009 best cited author award by Aristotle University of Thessaloniki (8500+ citations in 2009). The number of

citations to his work by third authors is 15700+ (Publish or Perish), 5500+ (Scopus). His H-index is 62+, (source Publish or

Perish), 37+ (Scopus), date: October 2012.

Keynote: Type-2 Fuzzy Control vs Type-1 Fuzzy Control: An Analytical Perspective

Event: IEEE CICA – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 15.30 –16.30 Thu. 18 April 2013 Chair(s): Sundaram Suresh

Speaker: Hao Ying

Dr. Hao Ying is a Professor at the Department of Electrical and Computer Engineering, Wayne State University, Detroit,

USA. As sole author, he published the book entitled Fuzzy Control and Modeling: Analytical Foundations and Applications (IEEE

Press, 2000), and co-authors the book Type-2 Fuzzy Logic Control: Introduction to Theory and Applications (John Wiley & Sons,

Inc., 2013). In addition, he has published more than 90 peer-reviewed journal papers and over 140 conference papers. He is

a Fellow of IEEE.

Keynote: Big Data and Clinical Decision Support Systems

Event: IEEE CICARE – 2013 Venue: Lyrebird Level 3

Date/Time: 9.30 – 10.30, Tue. 16 April 2013 Chair(s): Amir Hussain

Speaker: Henrique Martins

Prof. Martins is an Internal Medicine Specialist. He obtained his PhD degree from the Judge Business School, University

of Cambridge with a thesis on “The use of Mobile ICT in clinical Settings”. He holds a Master in Management from the

University of Cambridge and a Masters in HIV/AIDS from the University of Barcelona. He has several publications in the

area of Mobile computing in healthcare.

He works as CMIO – Chief Medical Information Officer at the Hospital Fernando Fonseca, and coordinates the Center

for Investigation and Creativity in Informatics (www.ci2.pt), where he supervises projects in robotics, mobile computing

and database exploration and intelligent systems. He additionally currently works at the Ministry of Health as Adjunct for

Health IT to the Health Secretary of State and is responsible for the new Health Information Sharing Platform for Electronic

Health Records and for nationwide efforts on complete electronic prescription and Clinical informatics. He teaches health

management, leadership and medical informatics in Portugal and abroad.

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Keynote: Computational Intelligence in (e)Healthcare: Challenges and Opportunities

Event: IEEE CICARE – 2013 Venue: Lyrebird Level 3

Date/Time: 9.30 – 10.30, Wed. 17 April 2013 Chair(s): Henrique Martins

Speaker: Amir Hussain

Professor Hussain obtained his BEng (with the highest 1st Class Honours) and PhD (with a resulting international patent on

novel neural network architectures and algorithms) from the University of Strathclyde in Glasgow, in 1992 and 1997 respectively.

Following a post-doctoral Research Fellowship at the University of Paisley (1996-98) and a research Lectureship at the

University of Dundee in Scotland (1998 – 2000), he joined the University of Stirling in 2000, where he is currently Professor of

Computing Science and founding Director of the Cognitive Signal-Image and Control Processing Research (COSIPRA) Laboratory.

He has (co)authored/edited more than a dozen Books and over 200 papers to-date in leading international journals

and refereed Conference proceedings. Since 2003, he has generated over euro 2m in research income (as principal investigator),

including from UK research councils, EU FP6/7, international charities and industry. He is founding Editor-in-Chief

of both Springer’s Cognitive Computation journal and SpringerBriefs in Cognitive Computation, Associate Editor for the

IEEE Transactions on Neural Networks & Learning Systems and serves on the Editorial Board of a number of other journals.

He has served as invited speaker, general/program (co)chair and organizing/programme committee member for over 50

leading international conferences to-date. He is founding General co-Chair of the annual International Conference on Brain

Inspired Cognitive Systems (BICS’2004 – 2013) and the IEEE ICEIS’2006. He is Chair of the IEEE UK & Republic of Ireland

(RI) Industry Applications Society Chapter and Fellow of the UK Higher Education Academy.

Keynote: Artifacts and Indicators Analysis in Cyber Security

Event: IEEE CICS – 2013 Venue: Lyrebird Level 3

Date/Time: 13.30 – 14.30, Thu. 18 April 2013 Chair(s): Dipankar Dasgupta

Speaker: Ratan K. Guha

Ratan K. Guha is a professor in the Department of Electrical Engineering and Computer Science at the University of Central

Florida. He received his B.Sc. degree with honors in Mathematics and M.Sc. degree in Applied Mathematics from the

University of Calcutta and received his Ph.D. degree in Computer Science from the University of Texas at Austin. He has

authored over 150 papers published in various computer journals, book chapters and conference proceedings. His work

has been supported by grants from ARO, NSF, STRICOM, PM-TRADE, NASA, and the State of Florida. He has served as a

member of the program committee of several conferences, as the general chair of CSMA’98 and CSMA’2000 and as the guest

co-editor of a special issue of the “Journal of Simulation Practice and Theory” and “Journal of Computers”. He is currently

serving in the editorial board of Modelling and Simulation in Engineering published by Hindawi Publishing Corporation.

He actively conducts research in computer networks and security and introduced a required computer security course for

all undergraduate CS and IT students at the University of Central Florida. He is a member of ACM, ASEE, Life member of

IEEE and served as a member of the Board of Directors of SCS from 2004 to 2006.

Keynote: Learning with Kernels for Streams of Structured Data

Event: IEEE CIDM – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 9.30 – 10.30, Tue. 16 April 2013 Chair(s): Barbara Hammer

Speaker: Alessandro Sperduti

Alessandro Sperduti received his education from the University of Pisa, Italy. (Laurea and Doctoral degrees in 1988 and

1993, respectively, all in Computer Science.) In 1993 he spent a period at the International Computer Science Institute,

Berkeley, supported by a postdoctoral fellowship. In 1994 he moved back to the Computer Science Department, University

of Pisa, where he was an Assistant Professor, and Associate Professor. Currently, he is a Full Professor at the Department of

Mathematics, University of Padova. His research interests include machine learning, neural networks, learning in structured

domains, hybrid systems, data and process mining. In the field of hybrid systems his work has focused on the integration of

symbolic and connectionist systems. He contributed to the organization of several workshops on this subject and he served

also in the program committee of several conferences on Neural Networks, Machine Learning, Artificial Intelligence, and

Information Retrieval. Alessandro Sperduti is the author of more than 150 refereed papers mainly in the areas of Neural

Networks, Pattern Recognition and Kernel Methods. Moreover, he gave several tutorials within international schools and

conferences, such as IJCAI 97, IJCAI 99, IJCAI 01, WCCI 12. He has been plenary speaker at ICANN 2001, WSOM 2007, ISNN

2012. He acted as a Guest Co-Editor of journal special issues on Connectionist Models for Learning in Structured Domains.

He has been chair of the Data Mining and Neural Networks Technical Committees of IEEE CIS, and Associate Editor of

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IEEE TNNLS. Currently he is in the editorial board of journals such as AI Communications, Theoretical Computer Science

(section on Natural Computing), IEEE Intelligent Systems Magazine. He is an IEEE senior member.

Keynote: Advances in Evolutionary Learning and Optimization

Event: IEEE CIDM – 2013 Venue: Lyrebird Level 3

Date/Time: 13.30 – 14.30, Wed. 17 April 2013 Chair(s): Zhi-Hua Zhou

Speaker: K. C. Tan

Kay Chen TAN is currently an Associate Professor in the Department of Electrical and Computer Engineering, National

University of Singapore. He is actively pursuing research in computational and artificial intelligence, with applications to

multi-objective optimization, scheduling, automation, data mining, and games.

Dr. Tan has published over 100 journal papers, over 100 papers in conference proceedings, co-authored 5 books including

Multiobjective Evolutionary Algorithms and Applications (Springer-Verlag, 2005), Modern Industrial Automation Software

Design (John Wiley, 2006; Chinese Edition, 2008), Evolutionary Robotics: From Algorithms to Implementations (World Scientific,

2006; Review), Neural Networks: Computational Models and Applications (Springer-Verlag, 2007), and Evolutionary

Multi-objective Optimization in Uncertain Environments: Issues and Algorithms (Springer-Verlag, 2009), co-edited

4 books including Recent Advances in Simulated Evolution and Learning (World Scientific, 2004), Evolutionary Scheduling

(Springer-Verlag, 2007), Multiobjective Memetic Algorithms (Springer-Verlag, 2009), and Design and Control of Intelligent

Robotic Systems (Springer-Verlag, 2009).

Dr. Tan has been invited to be an invited keynote/pleanary speaker for 25 international conferences. He served in the

international program committee for over 100 conferences and involved in the organizing committee for over 30 international

conferences, including the General Co-Chair for IEEE Congress on Evolutionary Computation 2007 in Singapore and

the General Co-Chair for IEEE Symposium on Computational Intelligence in Scheduling 2009 in Tennessee, USA. Dr. Tan is

an IEEE Distinguished Lecturer of IEEE Computational Intelligence Society since 2011.

Dr. Tan is currently the Editor-in-Chief of IEEE Computational Intelligence Magazine (CIM). He also serves as an Associate

Editor / Editorial Board member of over 15 international journals, such as IEEE Transactions on Evolutionary Computation,

IEEE Transactions on Systems, Man and Cybernetics: Part B Cybernetics, IEEE Transactions on Computational Intelligence

and AI in Games, Evolutionary Computation (MIT Press), European Journal of Operational Research, Journal of Scheduling,

and International Journal of Systems Science.

Dr. Tan is the awardee of the 2012 IEEE Computational Intelligence Society (CIS) Outstanding Early Career Award for

his contributions to evolutionary computation in multi-objective optimization. He also received the Recognition Award

(2008) from the International Network for Engineering Education & Research (iNEER) for his outstanding contributions to

engineering education and research. He was also a winner of the NUS Outstanding Educator Awards (2004), the Engineering

Educator Awards (2002, 2003, 2005), the Annual Teaching Excellence Awards (2002, 2003, 2004, 2005, 2006), and the Honour

Roll Awards (2007). Dr. Tan was a Fellow of the NUS Teaching Academic (2009 – 2012).

Keynote: Evolutionary Optimization in Dynamic and Uncertain Environments

Event: IEEE CIDUE – 2013 Venue: Lyrebird Level 3

Date/Time: 8.30 – 9.30, Wed. 17 April 2013 Chair(s): Andries Engelbrecht

Speaker: Yaochu Jin

Yaochu Jin (M’98-SM’02) received the B.Sc., M.Sc., and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1988,

1991, and 1996 respectively, and the Dr. Ing. degree from Ruhr-University Bochum, Bochum, Germany, in 2001.

He is currently a Professor and the Chair in Computational Intelligence with the Department of Computing, University

of Surrey, Guildford, U.K., where he heads the Nature Inspired Computing and Engineering Group. Before joining Surrey,

he was a Principal Scientist and Group Leader with the Honda Research Institute Europe, Offenbach am Main, Germany.

His main research interests include computational intelligence, computational neuroscience and computational systems

biology, with applications to complex engineering optimization, bioengineering, swarm robotics, and autonomous systems.

He has (co)edited five books and three conference proceedings, authored a monograph, and (co)authored over 150 peerreviewed

journal and conference papers. He has been granted eight US, EU and Japan patents. His current research is

funded by EU FP7, UK EPSRC and industries, including Intellas UK, Santander, Aero Optimal, Bosch UK and Honda.

He has delivered over ten invited keynote speeches on morphogenetic robotics; developmental neural systems; modeling,

analysis, and synthesis of gene regulatory networks; evolutionary optimization; and multi-objective learning at international

conferences.

Dr. Jin is an Associate Editor of BioSystems, the International Journal of Fuzzy Systems and Soft Computing, the IEEE

Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics, Part B:

Cybernetics, IEEE Transactions on Nanobioscience, and IEEE Computational Intelligence Magazine. He is a Distinguished

Lecturer (2013 – 2015) and an elected AdCom Member (2012 – 2014) of the IEEE Computational Intelligence Society. He was

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the recipient of the Best Paper Award of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and

Computational Biology.

Keynote: Ensemble Approaches in Learning

Event: IEEE CIEL – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 9.30 – 10.30, Thu. 18 April 2013 Chair(s): Ke Tang

Speaker: Xin Yao

For biography, please refer page no – 10

Keynote: Computational Intelligence in Structural Analysis and Design

Event: IEEE CIES – 2013 Venue: Lyrebird Level 3

Date/Time: 14.30 – 15.30, Thu. 18 April 2013 Chair(s): Vladik Kreinovich

Speaker: Michael Beer

Michael Beer is Professor of Uncertainty in Engineering and Director of the Institute for Risk & Uncertainty in the University

of Liverpool. He graduated with a doctoral degree in Civil Engineering from the Technische Universität Dresden, Germany.

As a Feodor-Lynen Fellow of the Alexander von Humboldt-Foundation Dr. Beer pursued research at Rice University

together with Professor Pol D. Spanos. From 2007 to 2011 he worked as an Assistant Professor in the Department of Civil

& Environmental Engineering, National University of Singapore. His research is focused on non-traditional uncertainty

models in engineering with emphasis on reliability analysis and on robust design. Dr. Beer is a member of ASME, Charter

Member of the ASCE Engineering Mechanics Institute, Member of the European Association for Structural Dynamics,

Member of the European Safety and Reliability Association, Member of IACM, Associate Editor of the International Journal

of Reliability and Safety, as well as Member of the Editorial Boards of Probabilistic Engineering Mechanics, Computers

& Structures, Structural Safety, International Journal of Computational Methods, and International Journal of Engineering

under Uncertainty: Hazards, Assessment, and Mitigation.

Keynote: Fuzzy Applications in Ground Vehicle Engineering: Focus on Identification

Event: IEEE CIES – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 13.30 – 14.30, Fri. 19 April 2013 Chair(s): Michael Beer

Speaker: Valentin Ivanov

Valentin Ivanov (Mech Eng. PhD DSc) is working as research professor and project officer at Ilmenau University of Technology

in Germany. He has longstanding experience in the organisation and implementation of research activities including

governmental, industrial and educational projects on the European and international level. Valentin Ivanov is an active

member of the SAE International (the Engineering Society for Advancing Mobility Land Sea Air and Space), JSAE (Society

of Automotive Engineers of Japan), IFAC (International Federation of Automatic Control), and ISTVS (The International

Society of Terrain-Vehicle Systems). Valentin Ivanov is Alexander von Humboldt Fellow (2007), Marie Curie Fellow (2008),

and he was awarded the Ralph R. Teetor Educational Award (2006, USA) and Intelligent Optimal Design Prize (2010, Singapore).

He held key research positions in several projects for electric drivelines, active safety systems for conventional and

electric vehicles, and intelligent systems for tire dynamics control. Valentin Ivanov is the author and co-author of more than

80 research papers and 12 patent documents. His research interests include automotive control systems, fuzzy computing,

vehicle dynamics, and hardware-in-the-loop simulation methods.

Tutorial: Validating Simulation Models

Event: IEEE CIFEr – 2013 Venue: Lyrebird Level 3

Date/Time: 8.30 – 10.30, Fri 19 April 2013 Chair(s): Shu-Heng Chen

Speaker: Robert Marks

Dr. Robert Marks is an Emeritus Professor of Economics at the University of New South Wales, and a Professorial Fellow

at the University of Melbourne. He was a foundation faculty member at the Australian Graduate School of Management.

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He published the first application of the Genetic Algorithm in game theory, and was for 13 years the Editor-in-Chief of the

Australian Journal of Management. He has published over 171 papers and reports, including pioneering papers on computer

modeling and validation in the social sciences.

Tutorial: Simulation Models on Systemic Risks

Event: IEEE CIFEr – 2013 Venue: Lyrebird Level 3

Date/Time: 13.30 – 15.30, Fri 19 April 2013 Chair(s): Shu-Heng Chen

Speaker: Akira Namatame

Dr. Akira Namatame (www.nda.ac.jp/∼nama) is Professor of Computer Science Department at National Defense Academy

of Japan. He is well-known as an international research leader in the field of multi-agent modeling and socio-economic

complexity. In the past ten years he has given over 30 invited talks, and over 10 tutorial lectures. He has also been a leading

figure in the community of researchers working on socio-economic complexity, for instance as programme leader in many

international conferences in the fields. His research interests include multi-agent systems, complex networks, evolutionary

computation, and game theory. He is the editor-in-chief of Springer’s Journal of Economic Interaction and Coordination. He

has published more than 250 refereed scientific papers, together with eight books on multi-agent systems, collective systems

and game theory.

Keynote: Human Experiments in Computational Intelligence

Event: IEEE CIHLI – 2013 Venue: Lyrebird Level 3

Date/Time: 10.30 – 11.30, Wed. 17 April 2013 Chair(s): Jacek Mańdziuk

Speaker: Hussein Abbass

Prof. Dr. Hussein Abbass is a Professor of Information Technology at the University of New South Wales, Canberra Campus,

Australia. He is a Fellow of the Operational Research Society (UK), a fellow of the Australian Computer Society, and a

Senior Member of the IEEE. Prof Abbass is an Associate Editor of the IEEE Transactions on Evolutionary Computation,

the IEEE Computational Intelligence Magazine, the American Institute of Mathematical Sciences Journal of Industrial and

Management Optimization, and three other journals. Prof Abbass’s workintegrates cognitive science, operations research

and artificial intelligence. He was the General Chair of the 2012 IEEE World Congress on Computational Intelligence held in

Brisbane June 2012, which is the Premier and Largest event by the IEEE Computational Intelligence Society.

Keynote: A Human-Inspired Memetic Computational Search Paradigm

Event: IEEE CIHLI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 16.30 – 17.30, Thu. 18 April 2013 Chair(s): Jacek Mańdziuk

Speaker: Yew-Soon Ong

Yew-Soon Ong is currently an Associate Professor and Director of the Center for Computational Intelligence at the School

of Computer Engineering, Nanyang Technological University, Singapore. He received a PhD degree on Artificial Intelligence

in complex design from the Computational Engineering and Design Center, University of Southampton, UK in 2003.

His current research interest in computational intelligence spans across memetic computing, evolutionary design, machine

learning, agent-based systems and cloud computing. He is the founding Technical Editor-in-Chief of Memetic Computing

Journal, Chief Editor of the Springer book series on studies in adaptation, learning, and optimization, Associate Editor of

IEEE Computational Intelligence Magazine, the IEEE Transactions on Systems, Man and Cybernetics – Part B, Information

Sciences, Soft Computing, International Journal of System Sciences and others. He has coauthored over 120 refereed publications

and his research grants in the last five years amounts to a total of more than 5 million Singapore dollars. These comprises

of research funding from both national and international partners that includes the Singapore National Grid Office,

A*STAR, Singapore Technologies Dynamics, Boeing Research & Development (USA), Rolls-Royce Singapore and Honda

Research Institute Europe (Germany), National Research Foundation and Media Development Authority – Singapore-MIT

GAMBIT Lab. Presently, he also Chaired the IEEE Computational Intelligence Society Emergent Technology Technical Committee

from 2011 – 2012 and has served as Guest Editors of several journals including the IEEE Transactions on Evolutionary

Computation. Presently, he Chairs the IEEE Computational Intelligence Society Intelligent Systems Technical Committee.

His research work on Memetic Algorithm was featured by Thomson Scientific’s Essential Science Indicators as one of the

most cited emerging area of research in August 2007. Recently, he also received the 2012 IEEE Transactions on Evolutionary

Computation Outstanding Paper Award for his work pertaining to the modeling of Probabilistic Memetic Framework. In

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teaching, he has also received numerous awards including the Nanyang Excellence Award for Teaching in 2008, Most Popular

Lecturer Award 2009, and recently invited as Fellow of Renaissance Engineering Programme at Nanyang Technological

University.

Keynote: Machine Learning for Neural Engineering Applications

Event: IEEE CIMSIVP – 2013 Venue: Lyrebird Level 3

Date/Time: 10.30 – 11.30, Thu. 18 April 2013 Chair(s): Paulo Lisboa

Speaker: Justin Dauwels

Justin Dauwels is an Assistant Professor with School of Electrical & Electronic Engineering at Nanyang Technological University

(NTU).

His research interests are in Bayesian statistics, iterative signal processing, and computational neuroscience. He enjoys

working on real-world problems, often in collaboration with medical practitioners. He also tries to bring real-world problems

into the classroom. Research from his team is featured at the Singapore Science Center and in the Straits Times.

Prior to joining NTU, Justin was a research scientist during 2008 – 2010 in the Stochastic Systems Group (SSG) at the

Massachusetts Institute of Technology (MIT), led by Prof. Alan Willsky. He received postdoctoral training during 2006-2007

under the guidance of Prof. Shun-ichiAmari and Prof. Andrzej Cichocki at the RIKEN Brain Science Institute in Wako-shi,

Japan. He obtained a PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich

in December 2005, supervised by Prof. Hans-Andrea Loeliger, and was a teaching and research assistant at the Signal and

Information Processing Laboratory (ISI) of the Department of Information Technology and Electrical Engineering at ETH

Zurich from 2000 to 2005. In 2000 he received the engineering physics degree from the University of Ghent. He has been a

JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008),

and a JSPS invited fellow (2010). He has received several best paper awards at conferences.

Keynote: Intelligent Systems for Flight Control

Event: IEEE CISDA – 2013 Venue: Lyrebird Level 3

Date/Time: 11.30 – 12.30, Wed. 17 April 2013 Chair(s): Sundaram Suresh

Speaker: Narasimhan Sundararajan

Narasimhan Sundararajan received the B.E in Electrical Engineering with First Class Honors from the Alagappa Chettiar

College of Engg. & Tech., Karaikudi, University of Madras in 1966, M.Tech from the Indian Institute of Technology, Madras

in 1968 and Ph.D. In Electrical Engineering from the University of Illinois, Urbana-Champaign in 1971.

From 1972 to 1991, he was working in the Indian Space Research Organization, Trivandrum, India starting as a Control

System Designer to Director, Launch Vehicle Design Group contributing to the design and development of the Indian satellite

launch vehicles SLV3, ASLV, PSLV and GSLV. He worked as the Project Engineer (Mission) for the first Indian Satellite

Launch Vehicle project SLV3 team working directly under Dr. Kalam. He was also a NRC Research Associate at NASA –

Ames in 1974 and a Senior NRC Research Associate at NASA Langley in 1981 – 86 under the National Academy of Sciences,

USA program. From February 1991, he was working in the School of Electrical and Electronic Engineering, Nanyang Technological

University, Singapore, as a Professor and has retired from that position in July 2010. Currently, he is an emeritus

professor visiting Indian Institute of Space Science and Technology, Trivandrum, India. He was a Prof. I.G. Sarma Memorial

ARDB Professor (an endowed visiting professor) during Nov.2002 – Feb 2003, at the School of Computer Science and

Automation, Indian Institute of Science, Bangalore, India.

His research interests are in the areas of aerospace control, machine learning, neural networks and applications and computational

intelligence and have more than 250 papers and also five books in the area of neural networks.

Dr. Sundararajan is a Fellow of IEEE, an Associate Fellow of AIAA and also a Fellow of the Institution of Engineers, (IES)

Singapore.

He was an Associate Editor for IEEE Trans. on Control Systems Technology, IFAC Journal on Control Engineering Practice

(CEP), IEEE Robotics and Automation Magazine and for Control -Theory and Advanced Technology (C-TAT), Japan. He

was also a member of the Board of Governors (BoG) for the IEEE Control System Society (CSS) for 2005. He has contributed

as a program committee member in a number of international conferences and was the General Chairman for the Sixth Intl.

Conf. On Automation, Robotics, Control and Computer Vision – ICARCV2000 held in Singapore on Dec. 2000.

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Keynote: Autonomy and the Future of Urban Mobility

Event: IEEE CIVTS – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 9.30 – 10.30, Wed. 17 April 2013 Chair(s): Justin Dauwels

Speaker: Emilio Frazzoli

Emilio Frazzoli is currently a Singapore Research Professor and Associate Professor of Aeronautics and Astronautics with

the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology, and is the Lead Principal

Investigator of the Future Urban Mobility project with the Singapore-MIT Alliance for Research and Technology. He received

a Laurea degree inAerospace Engineering from the University of Rome, “Sapienza”, Italy, in 1994, and a Ph.D. degree in

Navigation and Control Systems from the Department of Aeronautics and Astronautics of the Massachusetts Institute of

Technology, in 2001. Between 1994 and 1997 he worked as an officer in the Italian Navy, and as a spacecraft dynamics

specialist for the European Space Agency Operations Centre (ESOC) in Darmstadt, Germany, and Telespazio, in Rome,

Italy. From 2001 to 2004 he was an Assistant Professor of Aerospace Engineering at the University of Illinois at Urbana-

Champaign. From 2004 to 2006 he was an Assistant Professor of Mechanical and Aerospace Engineering at the University of

California, Los Angeles. He was the recipient of a NSF CAREER award in 2002. He is an Associate Fellow of the American

Institute of Aeronautics and Astronautics and a Senior Member of the Institute for Electrical and Electronics Engineers. He is

currently serving as an Associate Editor for the IEEE Transactions on Automatic Control, for the AIAA Journal of Guidance,

Control, and Dynamics, and for the Journal of Optimization Theory and Applications. Dr. Frazzoli’s main research interests

lie in the area of planning and control for autonomous vehicles, mobile robots, and transportation networks.

Keynote: Evolving Fuzzy Systems: A Granular Computing Design Framework

Event: IEEE EAIS – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 13.30 – 14.30, Thu. 18 April 2013 Chair(s): Bernadette Bouchon-Meunier

Speaker: Witold Pedrycz

Witold Pedrycz is Professor and Canada Research Chair (CRC – Computational Intelligence) in the Department of Electrical

and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of

the Polish Academy of Sciences, Warsaw, Poland. He also holds an appointment of special professorship in the School of

Computer Science, University of Nottingham, UK. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy

of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. WitoldPedrycz has been a member of numerous

program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious

Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Council and in 2013 a Killam Prize. He is a recipient

of the IEEE Canada Computer Engineering Medal 2008. In 2009 he has received a Cajastur Prize for Soft Computing from

the European Centre for Soft Computing for “pioneering and multifaceted contributions to Granular Computing”.

His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge

discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing,

and Software Engineering. He has published numerous papers in this area. He is also an author of 15 research monographs

covering various aspects of Computational Intelligence and Software Engineering.

Dr. Pedrycz is intensively involved in editorial activities. He is an Editor-in-Chief of Information Sciences and Editor-in-

Chief of IEEE Transactions on Systems, Man, and Cybernetics – Systems. He currently serves as an Associate Editor of IEEE

Transactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.

Keynote: Sentic Computing

Event: IEEE IA – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 10.30 – 11.30, Fri 19 April 2013 Chair(s): David Powers

Speaker: Erik Cambria

ERIK CAMBRIA (cambria@media.mit.edu) received his BEng and MEng with honours in Electronic Engineering from the

University of Genova, in 2005 and 2008 respectively. In 2011, he has been awarded a PhD in Computing Science and Mathematics,

following the completion of an industrial Cooperative Awards in Science and Engineering (CASE) research project,

funded by the UK Engineering and Physical Sciences Research Council (EPSRC), which was born from the collaboration

between the University of Stirling and the MIT Media Laboratory. Today, Erik is the lead investigator of Singapore MINDEFfunded

project on Commonsense Knowledge Representation & Reasoning at Temasek Laboratories (National University of

Singapore) and an associate researcher at the MIT Media Laboratory (Synthetic Intelligence Project). His interests include

AI, Semantic Web, KR, NLP, opinion mining and sentiment analysis, affective and cognitive modelling, intention awareness,

HCI, and e-health. Erik is also chair of several international conferences, e.g., Brain Inspired Cognitive Systems (BICS),

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symposia, e.g., Extreme Learning Machines (ELM), and workshop series, e.g., ICDM SENTIRE, KDD WISDOM, and WWW

MABSDA. He is editorial board of Springer Cognitive Computation, guest editor of IEEE Intelligent Systems, and reviewer

of other leading AI journals. He is a fellow of the Brain Sciences Foundation, the National Laboratory of Pattern Recognition

(NLPR – Institute of Automation, Chinese Academy of Sciences), the National Taiwan University, Microsoft Research Asia,

and HP Labs India.

Keynote: Artificial Evolution: from Digital to Physical

Event: IEEE ICES – 2013 Venue: Lyrebird Level 3

Date/Time: 8.30 – 9.30, Tue. 16 April 2013 Chair(s): Andy Tyrrell

Speaker: AE (Gusz) Eiben

Gusz Eiben’s academic research lies within computational intelligence or natural computing with evolutionary computing as

the binding factor, see the thematic overview on the right hand side of his web page. He has been involved in various European

research projects: EvoNet I (Esprit 20996), EvoNet II (FP5, IST-1999-14087), DREAM (FP5, IST-1999-12679), NEW TIES

(FP6-502386), SYMBRION (FP7-ICT-2007.8.2), EVOBODY (FP7-258334), OPTI-FOX (FP7-123456), AWARE (FP7-123456).

Further to academic research, he has worked in business intelligence R&D projects, including data warehousing and data

mining for feature selection, creditibility assessment, direct marketing, customer retention analysis, sensory data analysis,

e-business, etc. Much of this work is unpublished.

Keynote: Multigame Playing – A Challenge for Computational Intelligence

Event: IEEE MC – 2013 Venue: Lyrebird Level 3

Date/Time: 13.30 – 14.30, Tue. 16 April 2013 Chair(s): Zexuan Zhu

Speaker: Jacek Mańdziuk

Jacek Mańdziuk, Ph.D., D.Sc., is an Associate Professor at the Warsaw University of Technology. He gained an M.Sc.

(Honors) and Ph.D. in Applied Mathematics from the Warsaw University of Technology, Poland in 1989 and 1993 respectively.,

and a D.Sc. degree in Computer Science from the Polish Academy of Sciences in 2000. In 2011 he was awarded the

title of Full Professor (Professor Titular) by the President of the Republic of Poland. His research interests include the application

of Computational Intelligence methods to game playing, bioinformatics, financial modeling, time series prediction

and development of constructive learning methods for artificial agents.

He is the author of two books (including Knowledge-free and Learning-based Methods in Intelligent Game Playing,

Springer 2010), and co-author of one textbook and over 80 refereed papers. He has served as a Program Committee Member

at over 60 international conferences, was a Program Co-Chair of the International Workshop on Adaptive Systems in Soft

Computing and Life Sciences, USA, in 2002 and a panelist on the Computational Intelligence and Games panel at the IEEE

World Congress on Computational Intelligence (WCCI’08) in Hong Kong. He acts as a reviewer for several science journals

dedicated to Computational and Artificial Intelligence. He is an Associate Editor of the IEEE Transactions on Computational

Intelligence and AI in Games, an Editorial Board Member for the International Journal On Advances in Intelligent Systems,

a member of IEEE (M’05, SM’10) and a member of the Games Technical Committee of the IEEE Computational Intelligence

Society (CIS). He has been a founding chair of the IEEE CIG Task Force on Neural Networks for Games (since 2008) and a

founding chair of the IEEE CIS Emergent Technology Technical Committee Task Force on Towards Human-like Intelligence

(since 2011). He is a member of the Lifeboat Foundation Robotics/AI Advisory Board.

He has received a First Degree Award for Excellence in Research (6 times) and a Second Degree Award for Excellence in

Research (4 times) from the Warsaw University of Technology. He was a recipient of the Senior Fulbright Research Award

and has visited the University of California at Berkeley and the International Computer Science Institute in Berkeley (USA).

Recently he has been a visiting professor at Yonsei University (South Korea), Nanyang Technological University (Singapore)

and the University of Alberta (Canada).

Keynote: MOEAs: Applications in Bioinformatics and Data Mining

Event: IEEE MCDM – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 8.30 – 9.30, Tue. 16 April 2013 Chair(s): Barbara Hammer

Speaker: Sanghamitra Bandyopadhyay

Dr. Sanghamitra Bandyopadhyay did her Ph.D. in Computer Science from Indian Statistical Institute where she is currently

a Professor. Her research interests include computational biology and bioinformatics, evolutionary computation, pattern

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recognition and data mining. In these areas, Prof. Bandyopadhyay has published six books and authored more than 230 technical

articles. She has worked in various Institutes and Universities in USA, Australia, Germany, China and Italy, besides

having delivered invited lectures in many more. Prof. Bandyopadhyay is a Fellow of the National Academy of Sciences,

India and Indian National Academy of Engineering (INAE), and a recipient of several awards including the Shanti Swarup

Bhatnagar Prize in Engineering Science, Swarnajayanti fellowship from the Department of Science and Technology, Humboldt

Fellowship, INAE Silver Jubilee Award, National Woman Bioscientist Award, India, the Young Scientist Awards of

the Indian National Science Academy and the Indian Science Congress Association, Young Engineer Award of the Indian

National Academy of Engineers, Dr. Shanker Dayal Sharma Gold Medal and the Institute Silver Medal from IIT, Kharagpur.

Keynote: Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems

Event: IEEE RiiSS – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 15.30 – 16.30, Fri. 19 April 2013 Chair(s): Naoyuki Kubota

Speaker: Tetsuya Ogata

Tetsuya Ogata received the BS, MS and DE degrees in Mechanical Engineering, in 1993, 1995 and 2000, respectively, from

Waseda University. From 1999 to 2001, he was a Research Associate in Waseda University. From 2001 to 2003, he was a

Research Scientist in the Brain Science Institute, RIKEN. From 2003 to 2012, he was an Associate Professor in the Graduate

School of Informatics, Kyoto University. Since 2012, he has been a Professor of the Faculty of Science and Engineering,

Waseda University. Since 2009, he has been a JST (Japan Science and Technology Agency) PRESTO Researcher (5 years). His

research interests include human-robot interaction, dynamics of human-robot mutual adaptation and inter-sensory translation

in robot systems.

Keynote: Understanding Differential Evolution

Event: IEEE SDE – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 8.30 – 9.30, Fri. 19 April 2013 Chair(s): Swagatam Das

Speaker: Ferrante Neri

Ferrante Neri received the Masters and Ph.D. degrees in electrical engineering from the Technical University of Bari, Italy, in

2002 and 2007, respectively, and the Ph.D. degree in computer science from the University of Jyväskylä, Finland, in 2007. In

2009, Dr. Neri has been appointed Academy Research Fellow with the Academy of Finland. Since 2010 he is Adjunct Professor

in Computational Intelligence at the University of Jyväskylä. Currently he is a Reader in Computational Intelligence at

the De Montfort University, UK. Dr. Neri is vice-chair of the IEEE Task Force on Differential Evolution and chair of the IEEE

Task Force on Memetic Computing. His current research interests include memetic computing, differential evolution, noisy

and large scale optimisation, and compact and parallel algorithms.

Keynote: The Third Decade of Swarm Intelligence: Looking beyond the Particle Swarms and Ants

Event: IEEE SIS – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 14.30 – 15.30, Tue. 16 April 2013 Chair(s): István Erlich

Speaker: Swagatam Das

Swagatam Das is serving as an assistant professor at the Electronics and Communication Sciences Unit of Indian Statistical

Institute, Kolkata. His research interests include swarm intelligence and evolutionary computing, pattern recognition, multiagent

systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and more

than 150 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of

“Swarm and Evolutionary Computation”, an international journal from Elsevier. He serves as associate editors of the IEEE

Trans. on Systems, Man, and Cybernetics: Systems and Information Sciences (Elsevier). He is an editorial board member

of Progress in Artificial Intelligence (Springer), Mathematical Problems in Engineering, International Journal of Artificial

Intelligence and Soft Computing, and International Journal of Adaptive and Autonomous Communication Systems. He has

acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and

IEEE Transactions on SMC, Part C. Dr. Das has been acting as a regular reviewer for journals like Pattern Recognition,

IEEE Transactions on Evolutionary Computation, IEEE/ACM Transactions on Computational Biology and Bioinformatics,

IEEE Transactions on SMC Part A, Part B, and Part C. He has been associated with the international program committees

and organizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO,

and SEMCCO. He is a senior member of IEEE and the recipient of the 2012 Young Engineer award from the Indian National

Academy of Engineering (INAE).

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Keynote: Learning from Real Ants: Building Robust Ant Algorithms that always find the Shortest Path

Event: IEEE SIS – 2013 Venue: Lyrebird Level 3

Date/Time: 11.30 – 12.30, Thu. 18 April 2013 Chair(s): Yuhui Shi

Speaker: Jayadeva

Prof. Jayadeva obtained his B.Tech and Ph.D degrees from the Department of Electrical Engineering, IIT Delhi in 1988 and

1993. He is currently a Professor in the same department. He has been a speaker on the IEEE Computer Society Distinguished

Visitor Programme, and is a recipient of the Young Engineer Award from the Indian National Academy of Engineering, the

Young Scientist Award from the Indian National Science Academy, and the BOYSCAST Fellowship from the Department

of Science and Technology, Govt. of India. He was a URSI Young Scientist at the General Assembly in Lille, France (1996),

and received the Sir J.C. Bose Young Scientist title from the Indian Council of the URSI. He visited the Department of

Brain and Cognitive Sciences, Massachusetts Institute of Technology in 1997 as a BOYSCAST fellow. He spent a sabbatical

year as a visiting Researcher at IBM India Research Laboratory, from July 2006. One of his papers in Neurocomputing

was listed on the Top 25 hotlist; he is a recipient of best paper awards from the IETE Journal of Research, and three other

conference papers. He holds a US Patent on A/D conversion, another on assessing pronunciation abilities, and is the coauthor

of the book “Numerical Optimization and Applications”. He has served on the Steering and Program Committees

of several international conferences. He was a keynote speaker at the International Workshop on Mobile Technologies for

Pervasive Healthcare, Philip Island, Australia in 2007, was tutorial chair for PrEMI 2009, and delivered an invited talk

at ICICS, Singapore, 2011. His research interests include Swarm Intelligence, Machine Learning, Optimization, and VLSI.

Amongst his recent works that has received notable attention is the Twin Support Vector Machine.

Keynote: Comparing Partitions from Clustering Algorithms

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 10.30 – 11.30, Tue. 16 April 2013 Chair(s): Nikhil R Pal

Speaker: James M. Keller

James M. Keller received the Ph.D. in Mathematics in 1978. He holds the University of Missouri Curators’ Professorship in

the Electrical and Computer Engineering and Computer Science Departments on the Columbia campus. He is also the R. L.

Tatum Professor in the College of Engineering. His research interests center on computational intelligence: fuzzy set theory

and fuzzy logic, neural networks, and evolutionary computation with a focus on problems in computer vision, pattern recognition,

and information fusion including bioinformatics, spatial reasoning in robotics, geospatial intelligence, sensor and

information analysis in technology for eldercare, and landmine detection. His industrial and government funding sources

include the Electronics and Space Corporation, Union Electric, Geo-Centers, National Science Foundation, the Administration

on Aging, The National Institutes of Health, NASA/JSC, the Air Force Office of Scientific Research, the Army Research

Office, the Office of Naval Research, the National Geospatial Intelligence Agency, the Leonard Wood Institute, and the Army

Night Vision and Electronic Sensors Directorate. Professor Keller has coauthored over 400 technical publications.

Jim is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the International Fuzzy Systems Association

(IFSA), and a past President of the North American Fuzzy Information Processing Society (NAFIPS). He received

the 2007 Fuzzy Systems Pioneer Award and the 2010 Meritorious Service Award from the IEEE Computational Intelligence

Society. He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, followed by being

the Vice President for Publications of the IEEE Computational Intelligence Society from 2005-2008, and since then an elected

CIS Adcom member. He is the IEEE TAB Transactions Chair and a member of the IEEE Publication Review and Advisory

Committee. Among many conference duties over the years, Jim was the general chair of the 1991 NAFIPS Workshop and

the 2003 IEEE International Conference on Fuzzy Systems.

Keynote: Active Brain-Machine-Body Interface for Natural Cognition

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 13.30 – 14.30, Tue. 16 April 2013 Chair(s): James Keller

Speaker: Chin-Teng (CT) Lin

For biography, please refer page no – 7

23

Keynotes & Tutorials


Keynotes & Tutorials

Details of Keynotes & Tutorials

Keynote: Multi-Agent Systems with Applications in Traffic Control and Power Systems

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 8.30 – 9.30, Wed. 17 April 2013 Chair(s): Haibo He

Speaker: Dipti Srinivasan

Dipti Srinivasan obtained her M.Eng. and Ph.D. degrees in Electrical Engineering from the National University of Singapore

(NUS) in 1991 and 1994 respectively. She worked at the University of California at Berkeley’s Computer Science Division as

a postdoctoral researcher from 1994 to 1995. In June 1995, she joined the faculty of the Electrical & Computer Engineering

department at the National University of Singapore, where she is an Associate Professor. From 1998 – 1999 she was a Visiting

Faculty in the Department of Electrical & Computer Engineering at the Indian Institute of Science, Bangalore, India.

Her main areas of interest are neural networks, evolutionary computation, intelligent multi-agent systems, and application

of computational intelligence techniques to engineering optimization, planning and control problems. Her research has

focused on the development of hybrid neural network architectures, learning methods and their practical applications for

large complex engineered systems, such as the electric power system and urban transportation systems. These systems are

examined in various projects by applying multidisciplinary methods that are able to cope with the problems of imprecision,

learning, uncertainty and optimization, when concrete models are constructed.

At the ECE department of National University of Singapore, she has been teaching courses in the areas of computational

intelligence, introduction to electrical engineering, and power & energy systems. She was the winner of NUS Annual Teaching

Excellence Award in year 2007, 2008 and 2009.

Dipti is a senior member of IEEE, and a member of IES, Singapore. She is currently serving as the Chair of IEEE Women

in Computational Intelligence (WCI) committee. She is the immediate past chair of the IEEE Power Engineering Chapter,

Singapore, member of the IEEE Computational Intelligence Chapter, and a member of the Intelligent Transportation System

technical committee.

She is currently an Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Associate Editor of IEEE

Transactions on Neural Networks, Area Editor of International Journal of Uncertainty, Fuzziness and Knowledge-based

Systems, and Managing Editor of Neurocomputing journal.

Keynote: Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom, Level 3

Date/Time: 10.30 – 11.30, Wed. 17 April 2013 Chair(s): Jose Principe

Speaker: Marios Polycarpou

For biography, please refer page no – 9

Keynote: Advances in Kernel Methods

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 11.30 – 12.30, Wed. 17 April 2013 Chair(s): Marios Polycarpou

Speaker: Jose Principe

For biography, please refer page no – 9

Keynote: Power System Planning with Swarm Intelligence

Event: IEEE SSCI – 2013 Venue: Lyrebird Level 3

Date/Time: 14.30 – 15.30, Wed. 17 April 2013 Chair(s): Ganesh Kumar Venayagamoorthy

Speaker: Bijaya Ketan Panigrahi

Dr. B. K. Panigrahi is working as Associate Professor in the Department of Electrical Engineering, IIT Delhi since 2005. Prior

to joining IIT Delhi, he was a faculty at University College of Engineering, Burla, Sambalpur, Odisha , India from 1992 to

2005. Dr. Panigrahi is having a teaching and research experience of more than 20 years. He is a senior member of IEEE.

Dr. Panigrahi is associated with the editorial activities of different International Journals like International Journal of Power

and Energy Conversion, International Journal of Bio-Inspired Computation, Neurocomputing, Journal of Optimization,

Mathematical Problems in Engineering etc. Dr. Panigrahi’s research interest is on the application of Computational Intelligence

techniques to Power System Planning, Operation and Control. He also works in the area of evolutionary computing

and its application to power system optimization.

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Details of Keynotes & Tutorials

Keynote: Forensic Bioinformatics: Decoding Information through Molecular Alphabets

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 16.30 – 17.30, Wed. 17 April 2013 Chair(s): Hong Yan

Speaker: Amit Kumar

Dr. Amit Kumar is CEO and Chief Scientific Officer of BioAxis DNA Research Centre (BDRC) Pvt Ltd. He also serves as the

Secretary of IEEE Hyderabad Section, Chairman of IEEE Computational Intelligence Society, IEEE Hyderabad Section. He

is member of the reputed Neural Networks Technical Committee (NNTC) of the Computational Intelligence Society (CIS)

of the Institute of Electrical and Electronic Engineers, Inc. (IEEE). Dr. Amit Kumar is a member of IEEE, ISCB, APBIONET,

ACM and PRIB. He obtained his PhD in Applied Bioinformatics in 2007. Dr. Kumar was nominated as “Pioneers in Genomic

education 2010”. He has organized, chaired and delivered Invited talks in several National and International Conferences

like IEEE SSCI 2013 Singapore, POCO 2012 Budapest, POCO 2011 Beijing, IEEEHyd COW 2012 Vishakapatnam, PRIB 2007

Singapore, PRIB 2008 Australia, WCCI 2010 Barcelona Spain, DNA 2009 at Andhra Pradesh Police academy and DNA

2010-Osmania University, DNA 2011-GSI Lucknow, DNA 2012 at AIMSCS Hyderabad Central University and several IEEE

events. He has published more than 20 Research Papers in peer reviewed national and International Journals. Under his

able guidance BioAxis DNA Research Centre successfully reached the nomination of Leaders of tomorrow 2010 awards by

ET Now and India Mart. IEEE Computational Intelligence Society of Hyderabad Section received the Outstanding Chapter

award under his chairmanship and he was the Secretary of IEEE Hyderabad Section in 2012 when the section received the

Outstanding Large Section award. His Research Interests are Reverse Vaccinology, Forensic Bioinformatics, DNA Forensics,

Rational drug discovery, Forensic Criminology and Police Administration etc. He is also a Post Graduate in Criminology

and Police Administration. Dr. Amit kumar has been invited Resource person at number of Reputed Academic and Research

Institutions, Police Academies and Police Training colleges. Apart from the vast Industrial experience presently 4 PhD students

are working under his guidance and he has adjudicated several PhD Theses in Biotechnology and Bioinformatics.

Keynote: Interaction and Experience in Enactive Intelligence and Humanoid Robotics

Event: IEEE SSCI – 2013 Venue: Lyrebird Level 3

Date/Time: 16.30 – 17.30, Wed. 17 April 2013 Chair(s): Hiroki Sayama

Speaker: Chrystopher Nehaniv

Professor Chrystopher L. Nehaniv is a Ukrainian-American mathematician and computer scientist. He received his BSc

with honors from the University of Michigan, Ann Arbor in 1987, where he studied mathematics, biology, linguistics and

cognitive science, and his PhD in Mathematics from the University of California at Berkeley in 1992. He has held academic

and research positions in at Berkeley, Japan (professorship at University of Aizu, 1993 – 1998), and Hungary, and since 2001

is Research Professor of Mathematical and Evolutionary Computer Science at the University of Hertfordshire in the U.K.,

where he plays leading roles in the Algorithms, BioComputation, and Adaptive Systems Research Groups. He is author of

over 200 publications and 30 edited volumes in computer science, mathematics, interactive systems, artificial intelligence,

and systems biology, and is also coauthor of a monograph on algebraic theory of automata networks. Prof. Nehaniv is the

Chair of the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems, and

associate editor of the journals Interaction Studies and BioSystems. He currently co-coordinates the EU FET Unconventional

Computing project BIOMICS which explores the Biological and Mathematical basis of Interaction Computing (2012 – 2015).

Prof. Nehaniv has contributed as co-PI in, among many other UK and EU grants, the EU funded Cogniron, RobotCub

(producing the iCub humanoid), and ITALK projects which pioneered artificial intelligence for human-robot interaction and

enactive developmental cogntiive architectures harnessing imitation and linguistic learning via contingent social interaction.

His work brings novel mathematical approaches, especially computer algebraic automata theory (Krohn-Rhodes theory)

and information-theoretic methods, to interactive and computationally intelligent systems of all kinds. His current research

interests focus on interaction, development and enaction in biological and artificial systems, the notion of first and secondperson

experience (including phenomenological and temporally extended experience in ontogeny) in humanoids and living

things, as well as on mathematical and computer algebraic foundations and methods for complex adaptive systems.

Keynote: Threats to Our Oceans: Towards Swarm Intelligence Solutions

Event: IEEE SSCI – 2013 Venue: Lyrebird Level 3

Date/Time: 8.30 – 9.30, Thu. 18 April 2013 Chair(s): Simone Ludwig

Speaker: David Corne

David Corne is a Professor of Computer Science at Heriot-Watt University, Edinburgh, Scotland. He is currently Director

of Research for the School of Mathematical and Computer Sciences, leader of the Intelligent Systems Laboratory, and other

25

Keynotes & Tutorials


Keynotes & Tutorials

Details of Keynotes & Tutorials

things that he forgets at the moment. His research keywords are optimisation, evolutionary algorithms, machine learning,

data analytics, text analytics, and (increasingly) environmental applications. He hates writing long biographies.

Keynote: Computational Intelligence: What Can We Learn From the Brain?

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 10.30 – 11.30, Thu. 18 April 2013 Chair(s): Jacek Mańdziuk

Speaker: Wlodzislaw Duch

Wlodzislaw Duch heads the Department of Informatics, Nicolaus Copernicus University, Torun, Poland, and is the Vice-

President for Research and ICT Infrastructure (2011 – 15) at this University. He worked as Nanyang Visiting Professor

(2010 – 12) in the School of Computer Engineering, Nanyang Technological University, Singapore where has also worked

in 2003 – 07. MSc (1977) in theoretical physics, Ph.D. in quantum chemistry (1980), postdoc at Univ. of Southern California,

Los Angeles (1980 – 82), D.Sc. in applied math (1987); worked at the University of Florida; Max-Planck-Institute, Munich,

Germany, Kyushu Institute of Technology, Meiji and Rikkyo University in Japan, and several other institutions. He is/was

on the editorial board of IEEE TNN, CPC, NIP-LR, Journal of Mind and Behavior, and 14 other journals; was co-founder &

scientific editor of the “Polish Cognitive Science” journal; for two terms has served as the President of the European Neural

Networks Society executive committee (2006 – 2008 – 2011), is an active member of IEEE CIS Technical committee; works

as expert of the European Union science programs; published about 300 scientific and 150 popular articles, co-authored 4

books and co-edited 19 books, his DuchSoft company has made GhostMiner software package marketed by Fujitsu.

W. Duch is an expert in computational intelligence (CI), especially in methods that facilitate understanding of data, general

CI theory based on similarity evaluation and composition of transformations, meta-learning schemes that automatically

discover the best model for a given data. He also tries to develop neurocognitive informatics, algorithms inspired by models

of brain functions at different levels, geometrical theories for modeling of mental events and relating such models to

neurodynamics, models of attention deficit disorders integrating genetic, molecular, neural and behavioral levels, infant

learning and toys that facilitate mental development. He has written a number of papers in the philosophy of mind, helping

to develop cognitive sciences curriculum. With a wide background in many branches of science and understanding of

different cultures he bridges various scientific communities. As a service to the international community he maintains many

web pages related to computational intelligence,neuroscience, machine learning and statistics. To access these pages and his

full CV just type his name in Google.

Keynote: Computing with Words: Towards an Ultimately Human Centric Computing Paradigm?

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 14.30 – 15.30, Thu. 18 April 2013 Chair(s): Witold Pedrycz

Speaker: Janusz Kacprzyk

Janusz Kacprzyk graduated from the Department of Electronic, Warsaw University of Technology in Warsaw, Poland with

M.Sc. in automatic control, his Ph.D. in systems analysis and D.Sc. (“habilitation”) in computer science from the Polish

Academy of Sciences. He is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences,

Professor of Computerized Management Systems at WIT – Warsaw School of Information Technology, and Professor of

Automatic Control at PIAP – Industrial Institute of Automation and Measurements, in Warsaw, Poland, and Department

of Electrical and Computer Engineering, Cracow University of Technology, in Cracow, Poland. He is Honorary Foreign

Professor at the Department of Mathematics, Yli Normal University, Xinjiang, China, and Visiting Scientist at the RIKEN

Brain Research Institute in Tokyo, Japan. He is Full Member of the Polish Academy of Sciences and Foreign Member of the

Spanish Royal Academy ofEconomic and Financial Sciences (RACEF). He is Fellow of IEEE and of IFSA.He was a frequent

visiting professor in the USA, Italy, UK, Mexico and China. His main research interests include the use of computational

intelligence, notably fuzzy logic, indecisions, optimization, control, data analysis and data mining, with applications in

databases, ICT, mobile robotics, etc.

He is the author of 5 books, (co)editor of 60 volumes, (co)author of ca. 400 papers. He is the editor in chief of 5 book series at

Springer, and of 2 journals, and a member of editorial boardsof more than 40 journals. He is a member of Award Committee

of IEEE CIS, a member of Adcom (Administrative Committee) of IEEE CIS, and a Distinguished Lecturer of IEEE CIS. He

received many awards, notably: The 2006 IEEE CIS Pioneer Award in Fuzzy Systems, The 2006 Sixth Kaufmann Prize and

Gold Medal for pioneering works on soft computing in economics and management, and The 2007 Pioneer Award of the

Silicon Valley Section of IEEE CIS for contribution in granular computing and computing in words, and Award of the 2010

Polish Neural Network Society for exceptional contributions to the Polish computational intelligence community. Currently

he is President of the Polish Society for Operational and Systems Research and Past President of IFSA (International Fuzzy

Systems Association).

26


IEEE-SSCI 2013: Technical Program

Tutorial: Statistical Tests for Computational Intelligence Research and HumanSubjective Tests

Event: IEEE SSCI – 2013 Venue: Lyrebird Level 3

Date/Time: 15.30 – 17.30, Thu. 18 April 2013 Chair(s): Sanghamitra Bandyopadhyay

Speaker: Hideyuki Takagi

Hideyuki Takagi is received a doctorate in Engineering from Toyohashi University of Technology in 1991. He had worked

for the Central Research Laboratories of Matsushita Electric Industrial Co., Ltd. (current Panasonic) in 1981 – 1995 and

became Associate Professor of Kyushu Institute of Design and now Kyushu University after these two universities merged

in 2003. He was one of trigger researchers of neuro-fuzzy booming started from 1988 from Japan and then to the world. Now,

he is focusing on humanized computational intelligence, especially IEC research. He is a volunteer for IEEE SMC Society

since 1998 as the Vice-President, Board of Governor, Technical Committee (TC) Chair, TC Coordinator, Distinguish Lecturer,

Associate Editor of IEEE Trams. on SMC-B and now Trans. on Cybernetic, and one of organizers of SMC annual conferences.

See his detail bio at http://www.design.kyushu-u.ac.jp/∼takagi/

Keynote: Computational Aspect of Meta – Heuristic Optimization Algorithms

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 9.30 – 10.30, Fri. 19 April 2013 Chair(s): Ferrante Neri

Speaker: Vaclav Snasel

Vaclav Snasel is a Professor of Computer Science at VSB – Technical University of Ostrava, Czech Republic. He works as

researcher and university teacher. He is Dean Faculty of Electrical Engineering and Computer Science. He is head of research

programme IT4 Knowledge management at European Center of Excellence IT4 Innovations.

Vaclav Snasel’s research and development experience includes over 30 years in the Industry and Academia. He works in

a multi-disciplinary environment involving artificial intelligence, social network, conceptual lattice, information retrieval,

semantic web, knowledge management, data compression, machine intelligence, neural network, web intelligence, nature

and Bio-inspired computing, data mining, and applied to various real world problems.

He has given more than 12 plenary lectures and conference tutorials in these areas. He has authored/co-authored several

refereed journal/conference papers, books and book chapters. He has published more than 400 papers (212 papers are

recorded at Web of Science, 312 papers are recorded at Scopus). Citations at Google Scholar 1660 and h-index 17.

Keynote: Meta-Cognitive Cognitive Neural Networks in Medical Informatics and Control

Event: IEEE SSCI – 2013 Venue: Galleria Ballroom Level 3

Date/Time: 11.30 – 12.30, Fri. 19 April 2013 Chair(s): Wlodzislaw Duch

Speaker: Suresh Sundaram

Suresh Sundaram received his B.E. in Electrical and Electronics Engineering from Bharathiyar University, and his M.E. and

Ph.D. degrees from Indian Institute of Science Bangalore, India. He was a post-doctoral researcher in the School of Electrical

Engineering, Nanyang Technological University, Singapore, from 2005 – 2007. Subsequently, he was selected as a ERCIM

research fellow for the period of 2007 – 2008 and he spent valuable time in the project team PULSAR at INRIA Sophia-

Antipolis, France. For a short period, he was working as Faculty at Industrial Engineering, Korea University, Seoul. Later, he

was with Indian Institute of Technology, Delhi, as an Assistant Professor in Electrical Engineering from 2008-2009. Since 2010

he has been working as an Assistant Professor in the School of Computer Engineering, Nanyang Technological University,

Singapore. He has published more than 100 journal/conference papers and a book on Supervised Learning with Complexvalued

Neural Networks.

IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

(IEEE ADPRL 13)

ADPRL 13 is the fourth IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

The field of adaptive or approximate dynamic programming and reinforcement learning is a fusion of a number of research

areas in engineering, mathematics, artificial intelligence, operations research, and systems and control theory. This symposium

brings together researchers from different disciplines and will provide an opportunity for the academic and industrial

27

Keynotes & Tutorials


IEEE-ADPRL 2013

IEEE-SSCI 2013: Technical Program

community to address new challenges, share innovative and practical solutions, and define promising future research directions.

The final technical program of ADPRL consists of 28 papers organized in different sessions. There will be a keynote lecture

given by Prof. Huaguang Zhang and the five sessions contribute to various emerging areas of interest within ADPRL. We

hope you will find the symposium very interesting, and that you will enjoy sharing time with your colleagues during the

symposium to exchange ideas on adaptive methods for optimizing complex systems.

Symposium Chair Symposium Co-Chair(s)

Marco A. Wiering

University of Groningen, The Netherlands

Program Committee

Robert Babuska, Delft University of Technology,

The Netherlands

El-Sayed Mohamed El-Alfy, King Fahd University of Petroleum and

Minerals, Saudi Arabia

Abhijit Gosavi, Missouri University of Science and Technology, USA

Frank L. Lewis, University of Texas at Arlington, USA

Haibo He, University of Rhode Island, USA

Warren Powell, Princeton University, USA

Jennie Si, Arizona State University, USA

Danil Prokhorov, Toyota Technical Center, USA

Shimon Whiteson, University of Amsterdam,

Netherlands

Charles W. Anderson, Colorado State University, USA

Matteo Gagliolo, Vrije Universiteit Brussel, Belgium

Hisashi Handa, Okayama University, Japan

Dong-Bin Zhao, Chinese Academy of Sciences, China

Kazuhiro Ohkura, Hiroshima University, Japan

Damien Ernst, University of Liege, Belgium

Lucian Busoniu, University of Lorraine, France

Zhong-Ping Jiang, Polytechnic Institute of NYU, USA

Marcus Hutter, Australian National University,

Australia

Yasutake Takahashi, University of Fukui, Japan

Derong Liu, University of Illinois Chicago, USA

Koichi Moriyama, Osaka University, Japan

Emo Todorov, University of Washington, USA

Yanhong Luo, Northeastern University, China

Wen Yu, Civestav-IPN, Mexico

Ann Nowé, Vrije Universiteit Brussel, Belgium

Zeng-Guang Hou, Chinese Academy of Sciences, China

Rémi Munos, INRIA Lille, France

Draguna Vrabie, United Technologies Research Center, USA

Xin Xu, National University of Defense Technology, China

Yan Zhao, Shenyang Institute of Engineering, China

Huaguang Zhang

Northeastern University, China

Jagannathan Sarangapani

Missouri University of Science and Technology, USA

Dedong Yang, Hebei University of Technology, China

Tiedong Ma, Chongqing University, China

Xin Zhang, Northeastern University, China

Raphael Fonteneau, University of Liege, Belgium

Antonios Tsourdos, Defence Academy of the

United Kingdom, UK

Mingcong Deng, Tokyo University, Japan

Hossein Javaherian, General Motors Warren, USA

Martijn van Otterlo, Radboud University Nijmegen, Netherlands

Harm van Seijen, University of Alberta, Canada

Hado van Hasselt, CWI Amsterdam, Netherlands

Marc Deisenroth, University of Washington, USA

Gerhard Neuman, Technical University Darmstadt, Germany

Abdeslam Boularias, Max Planck Institute for

Intelligent Systems Tübingen,

Germany

Frans Oliehoek, University of Maastricht. Netherlands

Nikos Vlassis, University of Luxembourg, Luxembourg

Matthijs Spaan, Delft University of Technology,

Netherlands

Martin Riedmiller, University of Freiburg, Germany

Thomas Gabel, University of Freiburg, Germany

Todd Hester, University of Austin Texas, USA

Karl Tuyls, University of Maastricht, Netherlands

Istvan Szita, Google, Switzerland

Shahab Mehraeen, Louisiana State University, USA

Travis Dierks, DRS Technologies St. Louis, USA

Kyriakos Vamvoudakis, University of California, USA

Guang-Bin Huang, Nanyang Technological University, Singapore

Jian Fu, Wuhan University of Technology, China

Zhanshan Wang, Northeastern University, China

Qinglai Wei, Chinese Academy of Sciences, China

Chunbin Qin, Henan University, China

Session: Finite-Approximate-Error Based Adaptive Dynamic Programming: Algorithms and Applications

Chair: Huaguang Zhang Co-Chair: Jagannathan Sarangapani

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Oriole Level 4

SS-0146 Local Stability Analysis of High-Order Recurrent Neural Networks with Multi-Step Piecewise Linear

Activation Functions—Yujiao Huang, Huaguang Zhang and Dongsheng Yang

SS-0817 Finite-Horizon Optimal Control Design for Uncertain Linear Discrete-Time Systems—Qiming Zhao,

Hao Xu and S. Jagannathan

SS-0191 Adaptive Optimal Control for Nonlinear Discrete-Time Systems—Chunbin Qin, Huaguang Zhang and

Yanhong Luo

28


IEEE-SSCI 2013: Technical Program

SS-0410 Optimal Control for a Class of Nonlinear System with Controller Constraints Based on

Finite-Approximation-Errors ADP Algorithm—Ruizhuo Song, Wendong Xiao and Yanhong Luo

SS-0696 Finite Horizon Stochastic Optimal Control of Uncertain Linear Networked Control System—Hao Xu and

S. Jagannathan

Session: ADP and RL in Real-Time Feedback Systems

Chair: Xin Xu Co-Chair: Haibo He

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Oriole Level 4

SS-0259 Exponential Moving Average Q-Learning Algorithm—Mostafa D. Awheda and Howard M. Schwartz

SS-0262 Real-Time Tracking on Adaptive Critic Design with Uniformly Ultimately Bounded Condition—Zhen Ni,

Xiao Fang, Haibo He, Dongbin Zhao and Xin Xu

SS-0561 A Novel Approach for Constructing Basis Functions in Approximate Dynamic Programming for Feedback

Control—Jian Wang, Zhenhua Huang, Xin Xu and Jian Wang

SS-0597 A Combined Hierarchical Reinforcement Learning Based Approach for Multi-Robot Cooperative Target

Searching in Complex Unknown Environments—Yifan Cai, Simon X. Yang and Xin Xu

SS-0988 The Second Order Temporal Difference Error for Sarsa(λ)—Qiming Fu, Quan Liu, Fei Xiao and Guixin Chen

Keynote: Intelligent Adaptive Optimal Control: Algorithms and Stability

By Prof. Huaguang Zhang Chair: Dr Marco Wiering

Date/Time: 13.30 – 14.30, Wed. 17 April 2013 Venue: Galleria Ballroom Level 3

Keynote: General-purpose RLADP: Solving the Scaling Problem

By Dr. Paul Werbos Chair: Dr. Marco Wiering

Date/Time: 14.30 – 15.30, Wed. 17 April 2013 Venue: Galleria Ballroom Level 3

Session: Online Planning

Chair: Lucian Busuniu Co-Chair: Tobias Jung

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Oriole Level 4

SS-0103 Optimistic Planning for Continuous-Action Deterministic Systems—Lucian Busoniu, Alexander Daniels,

Rémi Munos and Robert Babuška

SS-0388 Optimistic Planning for Belief-Augmented Markov Decision Processes—Raphael Fonteneau, Lucian Busoniu

and Rémi Munos

SS-0604 Optimized Look-Ahead Trees: Extensions to Large and Continuous Action Spaces—Tobias Jung,

Damien Ernst and Francis Maes

SS-0703 Bias-Corrected Q-Learning to Control Max-Operator Bias in Q-Learning—Donghun Lee, Boris Defourny and

Warren B. Powell

SS-0713 Value Function Approximation and Model Predictive Control—Mingyuan Zhong, Mikala Johnson, Yuval Tassa,

Tom Erez and Emanuel Todorov

Session: Reinforcement Learning Methods and Applications

Chair: Marco Wiering Co-Chair: Evangelos Theodorou

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Oriole Level 4

SS-0170 Reinforcement Learning in the Game of Othello: Learning Against a Fixed Opponent and Learning from

Self-Play—Michiel van der Ree and Marco Wiering

SS-0299 A Reinforcement Learning Algorithm Developed to Model GenCo Strategic Bidding Behavior in

Multidimensional and Continuous State and Action Spaces—Alfred Yong Fu Lau, Dipti Srinivasan and

Thomas Reindl

SS-0325 Free Energy Based Policy Gradients—Evangelos A. Theodorou, Jiri Najemnik and Emo Todorov

SS-0894 Delayed Insertion and Rule Effect Moderation of Domain Knowledge for Reinforcement Learning—

Teck-Hou Teng and Ah-Hwee Tan

29

IEEE-ADPRL 2013


IEEE-ADPRL 2013

IEEE-SSCI 2013: Technical Program

Session: Evolutionary Algorithms for ADPRL

Chair: Hisashi Handa Co-Chair: Ichiro Kobayashi

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Oriole Level 4

SS-0775 Exploring the Relationship of Reward and Punishment in Reinforcement Learning – Evolving Action

Meta-Learning Functions in Goal Navigation—Robert Lowe and Tom Ziemke

SS-0854 Analyzing Collective Behavior in Evolutionary Swarm Robotic Systems Based on an Ethological

Approach—Toshiyuki Yasuda, Nanami Wada, Kazuhiro Ohkura and Yoshiyuki Matsumura

SS-0585 Reinforcement Learning to Train Ms. Pac-Man Using Higher-Order Action-Relative Inputs—Luuk Bom,

Ruud Henken and Marco Wiering

SS-0922 A Study on the Efficiency of Learning a Robot Controller in Various Environments—Sachiko Soga and

Ichiro Kobayashi

SS-0968 On the Coordination System for the Dimensionality-Reduced Inputs of Mario—Hisashi Handa

Posters Date/Time: 9.30 – 16.30, Thur. 18 April 2013 (Foyer Level 4)

SS-0048 Optimal Control for a Class of Nonlinear Systems with State Delay based on Adaptive Dynamic

Programming with ǫ-error bound—Xiaofeng Lin, Nuyun Cao and Yuzhang Lin

SS-0735 An Integrated Design for Intensified Direct Heuristic Dynamic Programming—Xiong Luo, Jennie Si and

Yuchao Zhou

SS-0345 Scalarized Multi-Objective Reinforcement Learning: Novel Design Techniques—Kristof Van Moffaert, Madalina

M. Drugan and Ann Nowé

SS-0994 Fault Accommodation for Complete Synchronization of Complex Neural Networks—Zhanshan Wang, Fufei

Chu, Hongjing Liang and Huaguang Zhang

IEEE Symposium on Artificial Life (IEEE ALIFE 2013)

The Fourth IEEE International Symposium on Artificial Life (IEEE ALIFE 2013) held for the first time in Asia, in the international,

intercultural center of Singapore, brings together researchers working on the emerging areas of Artificial Life and

Complex Adaptive Systems, aiming to understand and synthesize life-like systems, applying bio-inspired synthetic methods

and foundational issues to other scientific and constructive disciplines, including Biology, Medicine, Developmental and

Social Robotics, Computational Intelligence, various branches of Engineering, Social Sciences, among others.

Artificial Life is the study of the simulation and synthesis of living and life-like systems. In particular, this science of

generalized living and life-like systems provides engineering with billions of years of design expertise to learn from and

exploit through the example of the evolution of organic life on earth. Increased understanding of the massively successful

design diversity, complexity, and adaptability of life is rapidly making inroads into all areas of engineering and the Sciences

of the Artificial. Numerous applications of ideas from nature and their generalizations from life-as-we-know-it to life-asit-could-be

are thus continually finding their way into engineering and science via Artificial Life and its spin-off fields.

Moreover, these advances are feeding back to the natural sciences and medicine.

We are honored to present an intellectually stimulating program of excellent contributed papers, as well as two keynote

addresses by distinguished researchers: Dr. Katie Bentley (USA) on “Artificial Life in the Fight against Cancer”, Dr. Mikhail

Prokopenko (Australia) on “Information Dynamics at the Edge of Chaos”, in addition to Prof. Chrystopher L. Nehaniv’s

(UK) keynote for the Symposium Series on Computational Intelligence on “Interaction and Experience in Enactive Intelligence

and Humanoid Robotics”. Wolfram Research has kindly agreed to continue sponsoring the Best Paper and Best

Student Paper awards for IEEE ALIFE 2013 for which we are grateful.

We thank everyone who has contributed to making this IEEE Artificial Life Symposium a success, including the participants;

members of the IEEE Computational Intelligence Society Task Force on Artificial Life and Complex Adaptive Systems;

all the authors who submitted papers reporting exciting original research pushing the boundaries of artificial life, its foundations

and applications; the program committee for advice and timely but rigorous, constructive reviews; and as well as the

additional anonymous reviewers. As part of the IEEE Symposium Series on Computational Intelligence 2013, IEEE Artificial

Life has also benefitted greatly from excellent, tireless work and dedication of the IEEE SSCI 2013 organizers.

Symposium Chair

Chrystopher L. Nehaniv

University of Hertfordshire, UK

30

Terry Bossomaier

Charles Sturt University, Australia

Hiroki Sayama

Binghamton University, State University of New York, USA


Program Committee

Hussein Abbass, University of New South Wales,

Australian Defence Force Academy, Australia

Andrew Adamatzky, University of the

West of England, UK

Andreas Albrecht, Middlesex University

in London, UK

Lee Altenberg, University of Hawaii, USA

Takaya Arita, Nagoya University, Japan

Wolfgang Banzhaf, Memorial University, Canada

Randall Beer, Indiana University, USA

Axel Bender, Defence Science and Technology

Organisation, Australia

Katie Bentley, Cancer Research, UK & Harvard Medical School, USA

Josh Bongard, University of Vermont, USA

Martin V. Butz, University of Würzburg, Germany

Angelo Cangelosi, University of Plymouth, UK

Dominique Chu, University of Kent, UK

Kerstin Dautenhahn, University of Hertfordshire, UK

Alan Dorin, Monash University, Australia

René Doursat, Complex Systems Institute, Paris, France

Margaret J. Eppstein, University of Vermont, USA

Robert A. Freitas, Jr., Institute for Molecular

Manufacturing, USA

Carlos Gershenson, Universidad Nacional Autonoma de Mexico,

Mexico

David Green, Monash University, Australia

IEEE-SSCI 2013: Technical Program

Inman Harvey, University of Sussex, UK

Takashi Ikegami, University of Tokyo, Japan

Christian Jacob, University of Calgary, Canada

Joseph Lizier, Max Planck Institute for Mathematics

in the Sciences, Germany

Bob McKay, Seoul National University, Korea

Peter William McOwan, Queen Mary, University of London, UK

Stefano Nolfi, Institute of Cognitive Sciences and

Technologies, CNR, Italy

Joshua L. Payne, University of Zurich, Switzerland

Daniel Polani, University of Hertfordshire, UK

Steen Rasmussen, University of Southern Denmark, Denmark

Thomas S. Ray, University of Oklahoma, USA

John Rieffel, Union College, USA

Luis Rocha, Indiana University, USA

Reiji Suzuki, Nagoya University, Japan

Christof Teuscher, Portland State University, USA

Tatsuo Unemi, Soka University, Japan

Sebastian von Mammen,

University of Calgary, Canada

Juyang Weng, Michigan State University, USA

Justin Werfel, Harvard University, USA

Jason Teo Tze Wi, Universiti Malaysia Sabah, Malaysia

Janet Wiles, University of Queensland, Australia

Hector Zenil, University of Sheffield

and Wolfram Research, UK

Keynote: Artificial Life in the Fight Against Cancer

By Dr. Katie Bentley Chair: Chrystopher Nehaniv

Date/Time: 10.30 – 11.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

Session: Chemical, Cellular & Evolutionary Dynamics

Chair: Katie Bentley Co-Chair: Chrystopher Nehaniv

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Pelican Level 4

SS-0851 The Positive Role of Parasites in the Origins of Life—Nathaniel Virgo, Tom Froese and Takashi Ikegami

SS-0584 A Distributed Stochastic Perception-Action Loop Model of Cell Motility—Moritz Buck, Deniz Saltukoglu,

Melanie Boerries, Matias Simons and Hauke Busch

SS-0021 Evolving Parameters for a Noisy Bio-System—Dominique Chu

SS-0973 A Deterministic Agent-Particle Model for Cellular Diffusion, Aggregation and Self-Organization—

Jean Marie Dembele and Hiroki Sayama

Session: Algorithms & Methodologies

Chair: Mikhail Prokopenko Co-Chair: Chrystopher Nehaniv

Date/Time: 8.30 – 10.30, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0965 Designing and Evaluating Algorithms for Automated Discovery of Adaptive Network Models Based on

Generative Network Automata—Jeffrey Schmidt and Hiroki Sayama

SS-0656 Using Evolutionary Computation as Models/Tools for Human Decision Making and Creativity

Research—Hiroki Sayama and Shelley D. Dionne

SS-0446 Towards a Synergy-Based Approach to Measuring Information Modification—Joseph T. Lizier, Benjamin Flecker

and Paul L. Williams

SS-0686 Step Evolution: Improving the Performance of Open-Ended Evolution Simulations—Tiago Baptista and

Ernesto Costa

SS-0100 Network Representation of the Game of Life and Self-Organized Criticality—Yoshihiko Kayama

31

IEEE-ALIFE 2013


IEEE-ALIFE 2013

IEEE-SSCI 2013: Technical Program

Session: Perception, Behavior & Interaction

Chair: Joseph Lizier Co-Chair: Hiroki Sayama

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0529 Creating Space-Time Affordances Via an Autonomous Sensor Network—Norihiro Maruyama, Mizuki Oka and

Takashi Ikegami

SS-0628 Decentralized Approach to Evolve the Structure of Metamorphic Robots—Tarek Ababsa, Noureddine Djedi,

Yves Duthen and Sylvain Cussat Blanc

SS-0295 Co-Evolving Semi-Competitive Interactions of Sheepdog Herding Behaviors Utilizing a Simple Rule-Based

Multi Agent Framework—Erandi Lakshika, Michael Barlow and Adam Easton

SS-0523 Hey! There is Someone at Your Door. A Hearing Robot Using Visual Communication Signals of Hearing

Dogs to Communicate Intent—K. L. Koay, G. Lakatos, D. S. Syrdal, M. Gácsi, B. Bereczky, K. Dautenhahn,

A. Miklósi and M. L. Walters

SS-0895 Exploring Music as Communicative Gesture: A Drumming Implementation for a Humanoid

Robot—Konstantinos Theofilis, Chrystopher L. Nehaniv and Kerstin Dautenhahn

Session: Ecological and Social Dynamics

Chair: Terry Bossomaier Co-Chair: Hiroki Sayama

Date/Time: 13.30 – 15.10, Wed. 17 April 2013 Venue: Pelican Level 4

SS-0127 On Simulating Seed Foraging by Red Harvester Ants—Gary Greenfield

SS-0964 Exploring Male Spatial Placement Strategies in a Biologically Plausible Mating Task—Matthias Scheutz,

Max Smiley and Sunny K. Boyd

SS-0227 Robots that Specialize and Make Exchanges—Domenico Parisi and Giovanni Sirio Carmantini

SS-0706 Artificial Evolution for the Detection of Group Identities in Complex Artificial Societies—Corrado Grappiolo,

Julian Togelius and Georgios N. Yannakakis

SS-0958 Social Particle Swarm: Explosive Particle Dynamics Based on Cooperative/Defective Forces—

Keita Nishimoto, Reiji Suzuki and Takaya Arita

Keynote: Information Dynamics at the Edge of Chaos

By Dr. Mikhail Prokopenko Chair: Hiroki Sayama

Date/Time: 15.30 – 16.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0825 Observing Evolution in Artificial Life Studies: Algorithmic Considerations—Janardan Misra

IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and

Brain (IEEE CCMB 2013)

Computational Intelligence (CI) has for many years drawn inspiration from the brain to produce data and signal processing

techniques and systems which are capable of learning, evolving, adapting, self-organizing, communicating effectively with

humans and machines and controlling complex systems. Brain-inspired methods are now widely used to process data produced

by the brain with the aim of improving our understanding of how the brain functions and produces the remarkable

intelligence exhibited by humans, which is yet elusive for computational systems.

This Symposium focuses on several core topics associated with cognitive algorithms, mind and brain, which are deemed

to be of critical Brain-Computer Interfaces (BCIs), Computational models of functional and dysfunctional brain circuitry and

Cognitive Robotics.

In general, we are interested in dynamic brain models and brain inspired methods which are used to differentiate between

signals from different domains, uniquely fingerprint signals for identification, feature extraction, classification, modelling,

prediction and more but the main topics of interest include studies of Cortical dynamics, theory & experiments, Brainmachine

interfaces & neuroprostheses, Motor circuitry of the brain, Autonomous robot control, Brain rhythms and their

32


IEEE-SSCI 2013: Technical Program

cognitive relevance, Embodied cognition modeling, Neural Modelling Fields (NMF), Cognitive robotics, Perceptual processing,

Evolutionary and multi-agent modeling, Psychological and neurological disorders, Language learning and evolution,

Cognitive and emotional processing and Socio-cultural modelling

Chair(s)

Leonid Pervlovsky

Harvard University, Air Force Research Laboratory, USA

Robert Kozma

The University of Memphis, USA

Advisory Committee

Angelo Cangelosi

Plymouth, UK

Program Committee

Peter Andras, Newcastle, UK

Kai Keng Ang, Singapore

Basab Bhattacharya, N Ireland

Ross Deming, AFRL, USA

Justin Dauwels,

Nanyang Technological University,

Singapore

Henry Hexmoor

SIU, USA

Jose Fontanari, Brazil

John Gan, Essex, UK

Mario Gongora, Leicester, UK

Cuntai Guan, Singapore

Christoph Guger, Austria

Roman Ilin, AFRL, USA

Li-Wei Ko, NCTU, Taiwan

Damien Coyle

University of Ulster, UK

Jose F Fontanari

University of Sao Paulo,

Brazil

Kai Keng Ang

Institute for Infocomm Research

(I2R), Singapore

Dan Levine

UTA, USA

Session: Mind and Brain 1

Chair: Yair Neuman Co-Chair: Joshua Davis

Date/Time: 8.30–10.10, Tue. 16 April 2013 Venue: Cardinal Level 3

Fabien Lotte, Singapore

Heba Lakany, Glasgow, UK

Chin-Teng Lin, NCTU, Taiwan

Kia Nazarpour, Newcastle, UK

Abdul Satti, U of Ulster, N Ireland

Francisco Sepulveda, Essex, UK

Walter Weisse, Rhode Island, USA

SS-0906 A Hierarchical Classification System for Sleep Stage Scoring via Forehead EEG Signals—Chih-Sheng Huang,

Chun-Ling Lin, Li-Wei Ko, Sheng-Yi Liu, Tung-Ping Su and Chin-Teng Lin

SS-0932 The Influence of Acute Stress on Brain Dynamics—Chin-Teng Lin, Yu-Kai Wang, Jhe-Wei Fan and Shi-An Chen

SS-0857 Discovering the Learned Rules of Dress Collocation Inside Neural Network Mechanism—Yi-Chun Lin,

Chao-I Tuan and Cheng-Yuan Liou

SS-0923 Creation of Knowledge & Meaning Manifested via Cortical Singularities in Cognition – Towards a

Methodology to Understand Intentionality and Critical Behavior in Neural Correlates of Awareness—

Jeffery Jonathan (Joshua) Davis and Robert Kozma

Session: Mind and Brain 2

Chair: Sheng-Fu Liang Co-Chair: Justin Dauwels

Date/Time: 10.40–12.20, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0154 Spiking-Timing Based Pattern Recognition with Real-World Visual Stimuli—Jun Hu, Huajin Tang and K. C. Tan

SS-0552 An Energy Efficient Real-Time Seizure Detection Method in Rats with Spontaneous Temporal Lobe

Epilepsy—Yu-Lin Wang, Sheng-Fu Liang, Fu-Zen Shaw, Yu-Shin Huang and Yin-Lin Chen

SS-0625 A Cognitive Robotic Model of Mental Rotation—Kristsana Seepanomwan, Daniele Caligiore, Gianluca Baldassarre

and Angelo Cangelosi

SS-0654 A Quantitative Comparison of the Most Sophisticated EOG-Based Eye Movement Recognition

Techniques—M. Duvinage, J. Cubeta, T. Castermans, M. Petieau, T. Hoellinger, G. Cheron and T. Dutoit

SS-0870 A Model of Stimulus Induced Epileptic Spike-Wave Discharges—Peter N. Taylor, Gerold Baier, Sydney S. Cash,

Justin Dauwels, Jean-Jacques Slotine and Yujiang Wang

Keynote: Mathematical Models of the Mind, Cognitive Algorithms, and Engineering Applications — Language and

Cognition: Concepts, Emotions, and Music

By Dr. Leonid Perlovsky Chair: Sundaram Suresh

Date/Time: 14.30 – 15.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

33

IEEE-CCMB 2013


IEEE-CCMB 2013

IEEE-SSCI 2013: Technical Program

Session: Cognitive Algorithms

Chair: Yair Neuman Co-Chair: Robert Hercus

Date/Time: 15.50–17.30, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0038 Why "Dark Thoughts” Aren’t Really Dark: A Novel Algorithm for Metaphor Identification—Dan Assaf,

Newton Howard, Yair Neuman, Mark Last, Yohai Cohen, Ophir Frieder, Shlomo Argamon and Moshe Koppel

SS-0092 A Cognitively Motivated Word Sense Induction Algorithm—Yair Neuman, Dan Assaf and Yohai Cohen

SS-0394 Control of an Unmanned Aerial Vehicle Using a Neuronal Network—Robert Hercus, Hong-Shim Kong and

Kim-Fong Ho

SS-0417 Optimization of Multi-Layer Artificial Neural Networks Using Delta Values of Hidden Layers—

N. M. Wagarachchi and A. S. Karunananda

SS-0712 Model-Based Reinforcement Learning for Humanoids: A Study on Forming Rewards with the iCub

Platform—Anestis Fachantidis, Alessandro Di Nuovo, Angelo Cangelosi and Ioannis Vlahavas

Session: Brain-Computer Interfaces 1

Chair: Damien Coyle / Kai Keng Ang Co-Chair:

Date/Time: 8.30–10.10, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0089 Connectivity Pattern Modeling of Motor Imagery EEG—Xinyang Li, Sim-Heng Ong, Yaozhang Pan

and Kai Keng Ang

SS-0951 Unsupervised Short-Term Covariate Shift Minimization for Self-Paced BCI—Raheleh Mohammadi,

Ali Mahloojifar and Damien Coyle

SS-0239 Fixed-Point CCA Algorithm Applied to SSVEP Based BCI System—Pujie Zheng and Xiaorong Gao

SS-0091 Spatial Filter Design Based on Re-Estimated Projection Matrices—Xinyang Li, Sim-Heng Ong, Yaozhang Pan

and Kai Keng Ang

SS-0072 (POSTER) Online Feature Selection for Brain Computer Interfaces—Gareth Oliver, Peter Sunehag and

Tom Gedeon

Session: Brain-Computer Interfaces 2

Chair: Damien Coyle / Kai Keng Ang Co-Chair:

Date/Time: 13.40–15.20 Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0482 Neural Representation and Identification of Reaching Targets by Spike Trains in Motor Cortex—Zhiming Xu,

Ang Kai Keng, Cuntai Guan and Huynh Thai Hoa

SS-0572 Differential Evolution with Temporal Difference Q-Learning Based Feature Selection for Motor Imagery EEG

Data—Saugat Bhattacharyya, Pratyusha Rakshit, Amit Konar, D. N. Tibarewala, Swagatam Das and Atulya K. Nagar

SS-0912 Common Spatial Pattern and Linear Discriminant Analysis for Motor Imagery Classification—Shang-Lin Wu,

Chun-Wei Wu, Nikhil R. Pal, Chih-Yu Chen, Shi-An Chen and Chin-Teng Lin

SS-0526 Navigation in a Virtual Environment Using Multiclass Motor Imagery Brain-Computer Interface—

Zheng Yang Chin, Kai Keng Ang, Chuanchu Wang and Cuntai Guan

SS-1001 EEG-Based Motion Sickness Classification System with Genetic Feature Selection—Li-Wei Ko, Hua-Chin Lee,

Shu-Fang Tsai, Tsung-Chin Shih, Ya-Ting Chuang, Hui-Ling Huang, Shinn-Ying Ho and Chin-Teng Lin

Keynote: Brain-Computer Interface and its Potential New Applications

By Dr. Cuntai Guan Chair: Kai Keng Ang

Date/Time: 11.30 – 12.30, Thu 18 April 2013 Venue: Galleria Ballroom Level 3

IEEE Computational Intelligence Applications in Smart Grid (IEEE CIASG 2013)

Computational Intelligence (CI) evolves computational models and tools of intelligence capable of handling large raw

numerical sensory data directly, processing them by exploiting the representational parallelism and pipelining the problem,

generating reliable and just-in-time responses, and having high fault tolerance. Smart grid is basically the embedding

34


IEEE-SSCI 2013: Technical Program

of intelligence to enable bidirectional power flows with traditional sources of power generation, renewable sources and

energy storage. CI deployment is essential in smart grid to make it a success. Research and deployment of smart grid technologies

are being promoted by governments of many countries as a way of addressing energy independence, emission

reductions, and bringing resilience to electricity infrastructures. The Symposium on CI Applications in Smart Grid (CIASG)

aims at bringing researchers and engineers from academia and industry together to present, interact and review the latest

progresses in this emerging field, and to explore future research directions to address its challenges.

Co-Chair(s)

Ganesh Kumar Venayagamoorthy

Clemson University, Clemson, SC, USA

Program Committee

S. Charkrabarti, India

P. Estevez, Chile

D. Falcao, Brazil

K. Folly, South Africa

R. Harley, USA

R. Hadidi, USA

G. Krost, Germany

E. Kyriakides, Cyprus

L. Lai, UK

B. Luitel, USA

O. Malik, Canada

S. Mohagheghi, USA

Jung-Wook Park

Yonsei University, Korea

D. Niebur, USA

A. Saber, USA

E. Sanchez, Mexico

T. Senjyu, Japan

A. da Silva, Brazil

S. Singh, India

Session: Wide Area Systems

Chair: Ganesh Kumar Venayagamoorthy, Clemson Univer- Co-Chair: Tom Overbye

sity, USA

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Swallow Level 3

Haibo He

University of Rhode Island, USA

G. Taranto, Brazil

G. Taylor, UK

G. Torres, Brazil

SS-0296 Optimal PMU Placement with Local Redundancy of Conventional Measurements—Xia Nan

and Gooi Hoay Beng

Z. Vale, Portugal

X. Xia, South Africa

SS-0414 Information Processing and Visualization of Power System Wide Area Time Varying Data—S. Dutta and

T. J. Overbye

SS-0991 CNN Based Power System Transient Stability Margin and Voltage Stability Index Prediction—

Karthikeyan Balasubramaniam, Ganesh Kumar Venayagamoorthy and Neville Watson

SS-0708 Analysis of Electromechanical Disturbance Propagation in Power Systems—Saurav Mohapatra, Hao Zhu and

Thomas J. Overbye

Keynote: How to Get Real Benefits from Real Intelligence in the Grid

By Dr. Paul Werbos Chair: Ganesh Kumar Venayagamoorthy

Date/Time: 11.30 – 12.30, Tue. 16 April 2013 Venue: Galleria Ballroom Level 3

Session: [Invited Talks] Power System Control

Chair: Jung-Wook Park, Yonsei University, Korea Co-Chair: Ganesh Kumar Venayagamoorthy

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Swallow Level 3

SS-0115 Optimal Dispatch of Reactive Power Sources by Using MVMO S Optimization—José L. Rueda and István Erlich

SS-0940 Power System Controller Design Using Multi-Population PBIL—Komla Agbenyo Folly and

Ganesh Kumar Venayagamoorthy

SS-0209 Fuzzy Logic Decision-Making in Multi-Agent Systems for Smart Grids—R. Bharat Menon, Sangeetha B. Menon,

Dipti Srinivasan and Lakhmi Jain

SS-0687 Dispatch of Distributed Energy Resources to Provide Energy and Reserve in Smart Grids Using a Particle

Swarm Optimization Approach—Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, João Soares, Zita Vale and

Hugo Morais

SS-0887 Comparative Study Between HDP and PSS on DFIG Damping Control—Yufei Tang, Haibo He and Jinyu Wen

Session: Forecasting

Chair: Haibo He, University of Rhode Island, USA Co-Chair: Dipti Srinivasan

Date/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Swallow Level 3

35

IEEE-CIASG 2013


IEEE-CIASG 2013

SS-0281

IEEE-SSCI 2013: Technical Program

Construction of Neural Network-Based Prediction Intervals for Short-Term Electrical Load Forecasting—

Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi and Doug Creighton

SS-0300 Recent Approaches to Non-Intrusive Load Monitoring Techniques in Residential Settings—Yung Fei Wong,

Y. Ahmet Sekercioˇglu, Tom Drummond and Voon Siong Wong

SS-0464 A Fast Multiple Appliance Detection Algorithm for Non-Intrusive Load Monitoring—Voon Siong Wong, Yung

Fei Wong, Tom Drummond and Y. Ahmet Sekercioglu

SS-0742 Forecasting Solar and Wind Data Using Dynamic Neural Network Architectures for a Micro-Grid

Ensemble—Shivangi Gupta, Dipti Srinivasan and Thomas Reindl

SS-0955 Effects of Data Cleansing on Load Prediction Algorithms—Boye A. Høverstad, Axel Tidemann

and Helge Langseth

Session: Renewables and Storage

Chair: Haibo He, University of Rhode Island, USA Co-Chair: N. Kumarappan

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Swallow Level 3

SS-0889 Dynamic Performance Model of Wind Turbine Generators—Prajwal K. Gautam and Ganesh K. Venayagamoorthy

SS-0960 Fast and Revenue-Oriented Protection of Radial LV Cables with Smart Battery Operation—Sara Ramezani,

Nicolas Höning and Han La Poutré

SS-0554 Evolutionary Computation Enabled Controlled Charging for E-Mobility Aggregators—Stephan Hutterer,

Michael Affenzeller and Franz Auinger

Session: Simulation and Optimization

Chair: Istvan Erlich, University of Dussiburg-Essen,

Germany Co-Chair: Jose Rueda

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Swallow Level 3

SS-0776 [Invited Talks] Home Energy Resource Scheduling Algorithms and Their Dependency on the Battery

Model—Stefano Squartini, Danilo Fuselli, Matteo Boaro, Francesco De Angelis and Francesco Piazza

SS-0890 Developing Neural Networks Library in RSCAD for Real-Time Power System Simulation—Bipul Luitel,

Ganesh Kumar Venayagamoorthy and Gabriel Oliveira

SS-0607 Multi-Objective Parallel Particle Swarm Optimization for Day-Ahead Vehicle-to-Grid Scheduling—

João Soares, Zita Vale, Bruno Canizes and Hugo Morais

SS-0679 Modified Discrete PSO to Increase the Delivered Energy Probability in Distribution Energy Systems—

Bruno Canizes, João Soares, Hugo Morais and Zita Vale

SS-0355 Optimization of Electricity Pricing Considering Neural Network Based Model of Consumers’ Demand

Response—T. Holtschneider and I. Erlich

Posters Date/Time: 9.30 – 16.30, Wed. 17 April 2013 (Foyer Level 4)

SS-0450 Self-Organization Model for the Energy Cluster Formation with Distributed Energy Network—Takeshi Ishida

IEEE Symposium on Computational Intelligence in Bioinformatics and

Computational Biology (IEEE CIBCB 2013)

CIBCB 2013 is the 10th annual IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

The symposium brings together top researchers from around the world to discuss the latest advances in the field of

computational intelligence and its application to real-world problems in theoretical and applied biology, bioinformatics,

computational biology, chemical informatics, bioengineering and related fields. Computational Intelligence (CI) approaches

include artificial neural networks, fuzzy logic, evolutionary computation, hybrid approaches and other emerging techniques

including but not limited to ant colony optimization, particle swarm optimization, and support vector machines.

The final technical program consists of 35 oral papers and 9 posters selected from 69 submissions. There will be 7 contributed

sessions and 3 keynote lectures delivered by Dr. Vladimir Brusic, Dr. Paulo Lisboa, and Dr. Hong Yan. This brings us

to the focus of this conference – to explore complex biological systems and to employ the expertise of computer engineering

in designing effective methodologies for genome-wide study. Also, the conference features a lively and informative forum

for scientists and researchers to exchange ideas, and this can even be an excellent opportunity for international collaboration.

36


IEEE-SSCI 2013: Technical Program

I also deeply thank the IEEE Computational Intelligence Society’s Bioinformatics and Bioengineering Technical Committee

(BBTC) for their support of this conference over the years and particularly in 2013. The BBTC has provided members of

the organizing committee and the technical review panel. I am grateful to the IEEE Computational Intelligence Society for

their overall sponsorship of this event.

Chair(s)

Jung-Hsien Chiang

National Cheng Kung University, Taiwan

Program Committee

Acharya, Raj

Adams, Dean

Arieshanti, Isye

Artymiuk, Peter

Ashlock, Wendy

Ashlock, Daniel

Azuaje, Francisco

Baldi, Pierre

Bandyopadhyay, S.

Barash, Danny

Bi, Chengpeng (Charlie)

Biganzoli, Elia

Blazewicz, Jacek

Bondugula, Rajkumar

Brunak, Soren

Brusic, Vladimir

Cairns, David

Che, Dongsheng

Chen, Xue-wen

Chetty, Madhu

Chiang, Jung-Hsien

Chiu, David

Cho, Sung-Bae

Chou, Hui-Hsien

Chung, Pau-Choo (Julia)

Congdon, Clare, Bates

Cook, Di

Corne, David

Corns, Steven M.

Cotta-Porras, Carlos

Cruz-Cano, Raul

Dasgupta, Dipankar

Deb, Suash

Deb, Kalyanmoy

Denton, Anne

Deschenes, Alain

Dixon, Philip

Dorman, Karin

Reviewers

Sheridan Houghten

Meng Hu

Kwang Baek Kim

Francesco Masulli

Daniel Ashlock

Martine De Cock

Wendy Ashlock

Mark Elshaw

Ruben Armananzas

Nicolas Lomenie

Nicholas Flann

Stan Gotshall

Miguel Rocha

Joseph Alexander Brown

Georgy Sofronov

Sergi Bermudez i Badia

Rohitash Chandra

Isaam Saeed

Fengyu Cong

Draghici, Sorin

Dua, Sumeet

Eberbach, Eugene

Embrechts, Mark

Eppstein, Margaret

Falkenauer, Emanuel

Feng, Zeny

Floares, Alexandru

Fogel, Gary

Foster, James,

Friedrich, Christoph, M.

Garzon, Max

Gu, Xun

Habas, Piotr

Haddow, Pauline

Halgamuge, Saman

Hallinan, Jennifer

Hamel, Lutz

Hammer, Barbara

Hecht, David

Hendriks, Andrew

Howard, Daniel

Huang, De-Shuang

Huellermeier, Eyke

Iba, Hitoshi

Ifeachor, Emmanuel

Igel, Christian

Jacob, Christian

Jin, Bo

Jourdan, Laetitia

Juedes, David

Just, Winfried

Kasabov, Nik

Kasprzak, Marta

Keedwell, Ed

Keller, James

Knowles, Josh

Kon, Mark

Sushmita Mitra

Richard Moussa

Sergio Decherchi

Andrzej Pietrzykowski

Hongwei Mao

Mahmut Uludag

Yang Yang

Emad Andrews

Federico Divina

Alexandru Floares

Laurence Amaral

Jonathan Chan

Durga Bhavani Surampudi

Paul Kennedy

Bernd Brueckner

Jeff Thompson

Michael Lones

Pau-Choo (Julia) Chung

Ana Madevska Bogdanova

37

Pau-Choo (Julia) Chung

National Cheng Kung University, Taiwan

Kremer, Stefan C.

Lacso, Ronilda

Lisboa, Paulo

Liu, Tianming

Lones, Michael

Lozano, Jose A.

Lukens, Lewis

Ma, Jianmin

Marchiori, Elena

Masulli, Francesco

McCall, John

McNicholas, Paul D.

Mitra, Sushmita

Mitra, Sunanda

Moore, Jason

Nettelton, Dan

Ngom, Alioune

Nguyen, Minh

Noumeir, Rita

Obradovic, Zoran

Oja, Merja

Paoli, Silvano

Park, Chanho

Parmee, Ian

Patrick, Jon

Pena-Reyes, Carlos

Peterson, Leif

Peterson, David

Petrovski, Andrei

Popescu, Mihail

Pridgeon, Carey

Radivojac, Predrag

Rajapakse, Jagath

Reczko, Martin

Rocha, Miguel

Rowland, Jem

Sato-Ilic, Mika

Schlief, Frank-Micheal

Fernando Nino

Salman Halgamuge

Francesco Carlo Morabito

Wendy Ashlock

Antonio Neme

Tim Brys

Steve Corns

Sansanee Auephanwiriyakul

Michael Lones

Songyot Nakariyakul

Isaac Chairez

Jin-kao Hao

Alexandre Perera

Tsai-Rong Chang

Jung-Hsien Chiang

Jong Kyoung Kim

Durga Bhavani Surampudi

Georgy Sofronov

Vasile Palade

Schonfeld, Justin

Seker, Huseyin

Sipper, Moshe

Smith, Jennifer A.

Speer, Nora

Spieth, Christian

Stoffer, Deborah

Strancar, Janez

Suganthan, Ponnuthurai N

Szachniuk, Marta

Szustakowski, Joseph

Tagliaferri, Roberto

Talbi, El-ghazali

Tang, Jinshan

Teuscher, Christof

Timmis, Jon

Tramontano, Anna

Tsang, Herbert H.

Tyrrell, Andy

Villmann, Thomas

Vinterbo, Staal

Vohradsky, Jiri

Volkert, Gwenn

von Konigslow, Taika

Wahde, Mattias

Wang, Haixin

Watts, Mike Weber, Lutz

Wiese, Kay C.

Wiles, Janet

Wipat, Anil

Wunsch, Donald

Yao, Xin

Zauner, Klaus-Peter

Zhang, Byoung-Tak

Zhang, Yanqing

Zitzler, Eckart

Sansanee Auephanwiriyakul

Francesco Masulli

Daniel Ashlock

Max Garzon

Nasimul Noman

Ergun Gumus

Myriam Regattieri Delgado

Stan Gotshall

Francesco Pappalardo

Martina Hasenjaeger

Terje Kristensen

Frank-Michael Schlief

Fernando Nino

Camelia Chira

Imhoi Koo

Paul Kennedy

Andreas Albrecht

IEEE-CIBCB 2013


IEEE-CIBCB 2013

IEEE-SSCI 2013: Technical Program

Session: Protein Structure and Interaction

Chair: Yin-Fu Huang Co-Chair: Shinn-Ying Ho

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Falcon Level 3

SS-0152 A New Hybrid Probability-Based Method for Identifying Proteins and Protein Modifications—Penghao Wang

and Susan R. Wilson

SS-0180 Protein Secondary Structure Prediction Based on Physicochemical Features and PSSM by SVM—

Yin-Fu Huang and Shu-Ying Chen

SS-0272 The Impact of SignalP 4.0 on the Prediction of Secreted Proteins—Hind Melhem, Xiang Jia Min and Greg Butler

SS-0699 Predicting Protein Crystallization Using a Simple Scoring Card Method—Watshara Shoombuatong,

Phasit Charoenkwan, Hui-Ling Huang, Hua-Chin Lee, Jeerayut Chaijaruwanich and Shinn-Ying Ho

SS-0389 Intellectual Property Protection for Bioinformatics and Computational Intelligence—Dennis Fernandez,

Antonia Maninang and Shumpei Kobayashi

Session: Sequence Structure and Analysis

Chair: Clare Bates Congdon Co-Chair:

Date/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Falcon Level 3

SS-0107 Managing Memory and Reducing I/O Cost for Correlation Matrix Calculation in Bioinformatics—

Anaththa P. D. Krishnajith, Wayne Kelly, Ross Hayward and Yu-Chu Tian

SS-0463 NSC-GA: Search for Optimal Shrinkage Thresholds for Nearest Shrunken Centroid—Vinh Quoc Dang,

Chiou-Peng Lam and Chang Su Lee

SS-0698 A Study on the Effect of Different Thermodynamic Models for Predicting Pseudoknotted RNA Secondary

Structures—Peter Grypma, Jonathan Babbitt and Herbert H. Tsang

SS-0710 An Exploration into Improving DNA Motif Inference by Looking for Highly Conserved Core

Regions—Jeffrey A. Thompson and Clare Bates Congdon

Session: Computational Intelligence in Genetic Regulatory Network

Chair: Alioune Ngom Co-Chair: Jie Zheng

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Falcon Level 3

SS-0231 Machine Learning Based Search Space Optimisation for Drug Discovery—Upul Senanayake, Rahal Prabuddha

and Roshan Ragel

SS-0590 Integrating Epigenetic Prior in Dynamic Bayesian Network for Gene Regulatory Network Inference—

Haifen Chen, D. A. K. Maduranga, Piyushkumar A Mundra and Jie Zheng

SS-0888 The Max-Min High-Order Dynamic Bayesian Network Learning for Identifying Gene Regulatory Networks

from Time-Series Microarray Data—Yifeng Li and Alioune Ngom

SS-0738 Early Lung Cancer Detection Using Nucleus Segementation Based Features—Kesav Kancherla

and Srinivas Mukkamala

SS-0957 Detecting Epistasis in the Presence of Linkage Disequilibrium: A Focused Comparison—Zina M. Ibrahim,

Stephen Newhouse and Richard Dobson

Session: Systems Biology

Chair: Man-Leung Wong Co-Chair: Huiru Zheng

Date/Time: 13.40 – 15.00, Wed. 17 April 2013 Venue: Falcon Level 3

SS-0094 A Hybrid Colony Fuzzy System for Analyzing Diabetes Microarray Data—P. Ganesh Kumar,

S. Arul Antran Vijay and D. Devaraj

SS-0198 Intervention in Biological Phenomena Using Fuzzy Systems—Hazem N. Nounou,Mohamed N. Nounou, Nader

Meskin and Aniruddha Datta

SS-0331 Reverse Engineering of Gene Regulation Models from Multi-Condition Experiments—Noel Kennedy,

Alexandru Mizeranschi, Paul Thompson, Huiru Zheng and Werner Dubitzky

SS-0914 Integrated Analysis of Gene Expression and Genome-Wide DNA Methylation for Tumor Prediction: An

Association Rule Mining-Based Approach—Saurav Mallik, Anirban Mukhopadhyay, Ujjwal Maulik and

Sanghamitra Bandyopadhyay

38


IEEE-SSCI 2013: Technical Program

Keynote: Pattern Recognition Methods for Biomolecular Data Analysis

By Prof. Hong Yan Chair: Jung-Hsien Chiang

Date/Time: 15.30 – 16.30, Wed. 17 April 2013 Venue: Galleria Ballroom Level 3

Keynote: Knowledge-based Systems in Immunology: Data Mining of Vaccine Targets from Viral Pathogens

By Dr. Vladimir Brusic Chair: Tuan Pham

Date/Time: 8.30 – 9.30, Thu. 18 April 2013 Venue: Galleria Ballroom Level 3

Keynote: Interpretability in Computational Intelligence

By Dr. Paulo Lisboa Chair: Tuan Pham

Date/Time: 9.30 – 10.30, Thu. 18 April 2013 Venue: Lyrebird Level 3

Session: Computational Bioinformatics

Chair: Man-Leung Wong Co-Chair: Lusheng Wang

Date/Time: 10.50 – 12.20, Thu. 18 April 2013 Venue: Falcon Level 3

SS-0425 Identifying Duplications and Lateral Gene Transfers Simultaneously and Rapidly—Zhi-Zhong Chen, Fei Deng

and Lusheng Wang

SS-0436 GAknot: RNA Secondary Structures Prediction with Pseudoknots Using Genetic Algorithm—Kwok-Kit Tong,

Kwan-Yau Cheung, Kin-Hong Lee and Kwong-Sak Leung

SS-0657 Classifying Protein Interaction Type with Associative Patterns—Huang-Cheng Kuo and Ping-Lin Ong

SS-0909 RIPGA: RNA-RNA Interaction Prediction Using Genetic Algorithm—Kwan-Yau Cheung, Kwok-Kit Tong,

Kin-Hong Lee and Kwong-Sak Leung

Session: Interpretable Models for Bioinformatics and Biosignals

Chair: Vladimir A. Kuznetsov Co-Chair: Yu-Li Liu

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Falcon Level 3

SS-0297 Comparing Multiple Testing Correction Methods Between Two Softwares for Single Nucleotide

Polymorphisms Association Analyses – Using OPRD1 and Diastolic Blood Pressure in Methadone

Maintenance Patients as an Example—Yao-Sheng Chang, Hsiao-Huei Tsou, Sheng-Chang Wang, Chiu-Ping Fang,

Yu-Li Liu and Ing-Kang Ho

SS-0298 Capturing Hydrophobic Moment Using Spectral Coherence for Protein Secondary Structure

Prediction—Pradeep Chowriappa and Sumeet Dua

SS-0684 More Multiple Worlds Evolution for Motif Discovery—Joseph Alexander Brown

SS-0881 How to Discriminate Between Potentially Novel and Considered Biomarkers Within Molecular

Signature?—Ghim Siong Ow, Piroon Jenjaroenpun, Jean Paul Thiery and Vladimir A. Kuznetsov

SS-0917 A Multimodal Approach to Analysis of Steady State Visually Evoked Potentials—Nikhil Vij, Wu Zuobin,

Malin Björnsdotter, Justin Dauwels and François Benoît Vialatte

Session: Medical Informatics

Chair: Victor Lee Co-Chair: Xia Fei

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Falcon Level 3

SS-0166 Analysis of MRI-Based Cortical Surface Structure Complexity in Dementia by Sample Entropy—Ying Chen

and Tuan D. Pham

SS-0346 Prediction of Anti-EGFR Drug Resistance Base on Binding Free Energy and Hydrogen Bond

Analysis—Weiqiang Zhou, Debby D. Wang, Hong Yan, Maria Wong and Victor Lee

SS-0028 Genetic Algorithm for Dimer-led and Error-Restricted Spaced Motif Discovery—Tak-Ming Chan,

Leung-Yau Lo, Man-Leung Wong, Yong Liang and Kwong-Sak Leung

39

IEEE-CIBCB 2013


IEEE-CIBCB 2013

IEEE-SSCI 2013: Technical Program

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0836 Critical Junction: Nonlinear Dynamics, Swarm Intelligence and Cancer Research—Simon Rosenfeld

SS-0904 Mapping of DNA Sequences Using Hidden Markov Model Self Organizing Maps—Hiroshi Dozono

and Gen Niina

SS-0496 Segmentation of Mitochondria in Intracellular Space—Nhan Nguyen-Thanh, Tuan D. Pham

and Kazuhisha Ichikawa

SS-0630 A Particle Swarm Optimization Solution for Challenging Planted (l, d)-Motif Problem—U. Srinivasulu Reddy,

Michael Arock and A. V. Reddy

SS-0725 Designing Predictors of Halophilic and Non-Halophilic Proteins Using Support Vector Machines—

Hui-Ling Huang, Phasit Charoenkwan, Yerukala Sathipati Srinivasulu, Hua-Chin Lee and Shinn-Ying Ho

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0096 PUPPI: A Pathway Analysis Method Using Protein-Protein Interaction Network for Case-Control

Data—Ren-Hua Chung

SS-0832 Accelerating Protein Tertiary Structure Analysis Based on FPGA—Shen Quanhua, Xia Fei and Zhu Qianghua

SS-0715 Minimal-Redundancy-Maximal-Relevance Feature Selection Using Different Relevance Measures for Omics

Data Classification—Junshan Yang, Zexuan Zhu, Shan He and Zhen Ji

IEEE Symposium on Computational Intelligence in Biometrics and Identity

Management (IEEE CIBIM 2013)

Biometrics is an emerging technology that has been used to enhance security-related applications such as access control,

identity verification, and information security. In recent years, more and more government agencies and private companies

are turning to biometric technologies to deal with the increasing security issues. Computational intelligence (CI), primarily

based on neural networks (NN), fuzzy systems (FS), evolutionary computation (EC), etc., is a suitable approach for solving

challenging real-world biometric problems. The objective of this symposium is to bring researchers from academia and

industry together to exchange the latest theoretical and experimental results in the field.

CIBIM 2013 is the third IEEE International Workshop/Symposium on Computational Intelligence in Biometrics and Identity

Management. The topics to be covered this year reflect the depth and breadth of the current research effort and range of

applications. The event will provide the attendees a valuable opportunity to meet professional colleagues and old friends on

a personal level as well as to share ideas with associates in academia and industry. We hope every participant will find the

symposium enjoyable and professionally rewarding. Finally, we would like to thank all of those people and organizations

that have worked so hard to organize this symposium and bring us all together.

Co-Chair(s)

David Zhang

Hong Kong Polytechnic University,

China

Program Committee

Qinghan Xiao

Defence R&D Canada - Ottawa, Canada

Zahid Akhtar, University of Cagliari, Italy

Hervé Chabanne, Morpho & Télécom ParisTech, France

Ke Chen, University of Manchester, UK

Gerry Vernon Dozier, North Carolina A&T State

University, USA

Eliza Du, Indiana University-Purdue University

Indianapolis, USA

Jianjiang Feng, Tsinghua University, China

Eric Granger, école de technologie supérieure, Montreal, Canada

Robert Ives, United States Naval Academy, USA

Kevin Jia, IGT, USA

Adams Wai-Kin Kong, Nanyang University, Singapore

Wenxin Li, Peking University, China

40

Fabio Scotti

University of Milan, Italy

Evangelia Micheli-Tzanakou, Rutgers University, USA

Hugo Proença, University of Beira Interior, Portugal

Seref Sagiroglu, Gazi University, Ankara, Turkey

Mario Savastano, National Research Council of Italy

Jie Tian, Chinese Academy of Sciences, China

Jeffrey Voas, Science Applications International

Corporation, USA

Jia-Ching Wang, National Cheng Kung University, Tainan, Taiwan

Lidong Wang, Mississippi Valley State University, USA

Yong Xu, Harbin Institute of Technology, China

Xin Yang, Chinese Academy of Sciences, China

Svetlana N. Yanushkevich, University of Calgary, Alberta, Canada


IEEE-SSCI 2013: Technical Program

Session: Biometric Data Processing and Classification

Chair: Nedumaran Damodaran Co-Chair: Gil Santos

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Canary II Level 4

SS-0328 Development of Image Enhancement Algorithm for Fingerprint Images in TMS320C6416 DSK—

M. Selva Kumar and D. Nedumaran

SS-0221 Person Identification from Actions Based on Artificial Neural Networks—Alexandros Iosifidis, Anastasios Tefas

and Ioannis Pitas

SS-0874 Periocular Biometrics: An Emerging Technology for Unconstrained Scenarios—Gil Santos and Hugo Proença

Keynote: Discriminant Non-negative Matrix Factorization for Facial Image Analysis

By I. Pitas Chair: Kar-Ann Toh

Date/Time: 11.30 – 12.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

Session: Novel Applications of CI to Biometric Problems

Chair: Ioannis Pitas Co-Chair: Ruggero Donida Labati

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Canary II Level 4

SS-1006 Contactless Fingerprint Recognition: A Neural Approach for Perspective and Rotation Effects

Reduction—Ruggero Donida Labati, Angelo Genovese, Vincenzo Piuri and Fabio Scotti

SS-0685 Exploiting Clustering and Stereo Information in Label Propagation on Facial Images—Olga Zoidi,

Nikos Nikolaidis and Ioannis Pitas

SS-0606 Genetic Heuristic Development: Feature Selection for Author Identification—Joshua Adams, Henry Williams,

Joi Carter and Gerry Dozier

SS-0847 Fly Wing Biometrics – Using Genetic & Evolutionary Feature Extraction—Michael Payne, Jonathan Turner,

Joseph Shelton, Joshua Adams, Joi Carter, Henry Williams, Caresse Hansen, Ian Dworkin and Gerry Dozier

SS-0420 Gait Classification of Twins and Non-Twins Siblings—Wan-Noorshahida Mohd-Isa, Junaidi Abdullah and

Chikkanan Eswaran

Session: Facial Recognition

Chair: Kailash J. Karande Co-Chair: Jian-Gang Wang

Date/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Canary II Level 4

SS-0249 Estimating In-Plane Rotation Angle for Face Images from Multi-Poses—Seyed Mohammad Hassan Anvar,

Wei-Yun Yau, Karthik Nandakumar and Eam Khwang Teoh

SS-0168 Real-Time Beard Detection by Combining Image Decolorization and Texture Detection with Applications to

Facial Gender Recognition—Jian-Gang Wang and Wei-Yun Yau

SS-0225 Localized Spatiotemporal Modular ICA for Face Recognition—Kailash J. Karande

SS-0548 Face Identity Verification Based on Sinusoidal Projection—Beom-Seok Oh and Kar-Ann Toh

SS-0806 Facial Expressions: Discriminability of Facial Regions and Relationship to Biometrics Recognition—

Elisa Barroso, Gil Santos and Hugo Proença

IEEE Symposium on CI for Creativity and Affective Computing (IEEE CICAC 2013)

Computational intelligence (CI) techniques, including neural network, fuzzy systems, and evolutionary computation, have

shown to be effective for search and optimization problems. Recently, CI gained several promising results and becomes an

important tool in Computational Creativity, such as in music, visual art, literature, architecture, and industrial design. The

goal is to enhance autonomous creative systems as well as human creativity.

In addition, taking into account emotions (or more generally affects) is currently widely explored to improve the quality

of human-machine interaction and to ease the communication with users or potential customers. Affective or emotional

computing covers a wide range of issues, challenges and approaches, both for emotion simulation (in particular for new

generations of intelligent agents), emotion elicitation, expression and recognition. The latter is declined along several types

41

IEEE-CIBIM 2013


IEEE-CICAC 2013

IEEE-SSCI 2013: Technical Program

of modalities and media data, such as physiological signals, facial expressions, speech, text, images and video. Each of these

modalities and media raises specific requirements.

Thus, affective computing raises new challenges for computational intelligence, regarding e.g. computational representations

of emotions and affective states, on the basis of psychological models, the architecture of systems modeling and

processing these concepts as well as dedicated machine learning techniques appropriate to deal with the specificity of the

related data.

The 2013 Workshop on Computational Intelligence for Computational Creativity and Affective Computing reflects the

most recent advances in the various disciplines contributing to the domain, offering an overview on the current state of the

art on this challenging and fast developping field.

Co-Chair(s)

Chuan-Kang Ting, National Chung Cheng University, Taiwan Marie – Jeanne Lesot, LIP6 – UPMC, France

Francisco Fernández de Vega, U. of Extremadura, Spain Jean-Claude Martin, LIMSI, France

Palle Dahlstedt, University of Gothenburg, Sweden Maria Rifqi, LIP6 – Paris II, France

Program Committee

Peter Bentley, University College London, UK

Jonathan Chan, King Mongkut’s University of

Technology Thonburi, Thailand

Roberto De Prisco, Universitàdi Salerno, Italy

Alan Dorin, Monash University, Australia

Carlos Fernandes, Technical University of Lisbon,

Portugal

Yaochu Jin, University of Surrey, UK

Anna Jordanous, King’s College London, UK

Oliver Kramer, Carl von Ossietzky Universität, Germany

Ruli Manurung, University of Indonesia, Indonesia

Jon McCormack, Monash University, Australia

James McDermott, Massachusetts Institute of

Technology, USA

Eduardo Miranda, University of Plymouth, UK

Yew Soon Ong, Nanyang Technological University,

Singapore

Somnuk Phon-Amnuaisuk, Universiti Tunku Abdul Rahman,

Malaysia

Kevin Wong, Murdoch University, Australia

Thierry Artières, LIP6 - UPMC, France

Thierry Baccino, Université de Paris VIII, France

Gérard Bailly, GIPSA-lab, University of Grenoble, France

Christian Becker-Asano, Albert-Ludwigs-Universität Freiburg,

Germany

Nadia Berthouze, University College London, UK

Ginevra Castellano, University of Birmingham, UK

Pau-Choo Julia Chung, Smile Lab, National Cheng Kung University,

Taiwan

Jeff Cohn, University of Pittsburgh, USA

Ernesto De Luca, Fachhochschule Potsdam, Germany

Celso de Melo, University of South California, USA

Marcin Detyniecki, LIP6 - CNRS, France

Laurence Devillers, University Paris-Sorbonne, France

Jean-Marc Fellous, University of Arizona, USA

Hani Hagras, University of Essex, UK

Robert Houghton, University of Nottingham, UK

Eyke Hüllermeier, University of Marburg, Germany

Arvid Kappas, Jacobs University Bremen, Germany

Kostas Karpouzis, National Technical University of Athens, Greece

Jim Keller, University of Missouri, USA

Chin-Teng Lin, National Chiao-Tung University,

Taiwan

Christine Lisetti, Florida International University, USA

Radoslaw Niewiadomski, Telecom Paris Tech, France

Magalie Ochs, Telecom Paris Tech, France

Jean-Françis Omhover, Arts Et Metiers ParisTech, France

Joseph Orero, Jomo Kenyatta University of Agriculture and

Technology, Kenya

Andrew Ortony, Northwestern University, USA

Helen Pain, University of Edinburgh, UK

Catherine Pelachaud, Telecom Paris Tech, France

Isabella Poggi, University Roma Tre, Italy

Thierry Pun, University of Geneva, Switzerland

Rainer Reisenzein, EMA University Greifswald,

Germany

Peter Roelofsma, VUA University Amsterdam, The Netherlands

Nicolas Sabouret, LIMSI, France

Jean-Paul Sansonnet, LIMSI, France

Charles Tijus, University Paris VIII, France

Egon L van den Broek, University of Twente,

The Netherlands

Christian Wagner, University of Nottingham, UK

Chung-Hsien Wu, National Cheng Kung University, Taiwan

Dongrui Wu, GE Global Research, USA

Session: Computational Intelligence for Affective Computing

Chair: Marie-Jeanne Lesot Co-Chair:

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Falcon Level 3

Georgios Yannakakis, IT University of Copenhagen, Denmark

Slawomir Zadrozny, Polish Academy of Sciences, Poland

SS-0153 A Component Based Approach for Classifying the Seven Universal Facial Expressions of Emotion—

Kenny Hong, Stephan K. Chalup and Robert A. R. King

SS-0741 Robot Emotions Generated and Modulated by Visual Features of the Environment—Aaron S. W. Wong,

Steven Nicklin, Kenny Hong, Stephan K. Chalup and Peter Walla

SS-0768 The Role of Reinforcement in Affective Computation – Triggers, Actions and Feelings—Robert Lowe

and Tom Ziemke

42


IEEE-SSCI 2013: Technical Program

SS-0844 A Framework for Computing Crowd Emotions Using Agent Based Modeling—Mihail Popescu, James M. Keller

and Alina Zare

Session: Computational Intelligence for Creativity

Chair: Palle Dahlstedt Co-Chair: Chuan-Kang Ting

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0990 Photo Rendering with Swarms: From Figurative to Abstract Pherogenic Imaging—Carlos M. Fernandes,

Antonio Mora, Juan Julián Merelo, Carlos Cotta and Agostinho C. Rosa

SS-0332 A Computer-Aided System for Narrative Creation – Pictures and Attributed-Notes for Storytelling—

Yun-Tai Chang, Sheng-Chih Chen and Tsai-Yen Li

SS-0500 FuX, an Android App that Generates Counterpoint—Dorien Herremans and Kenneth Sörensen

SS-0674 An Interactive Approach to Story Characterization—Malik Nairat, Palle Dahlstedt and Mats G. Nordahl

SS-0920 Evolutionary Composition Using Music Theory and Charts—Chien-Hung Liu and Chuan-Kang Ting

Session: Affective Computing and Creativity

Chair: Stephan Chalup Co-Chair: Jean-Claude Martin

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Falcon Level 3

SS-0347 An Intuitive Computer Animation System for Enhancing Human Creativity—Natapon Pantuwong and

Masanori Sugimoto

SS-0757 Scene Perception Using Pareidolia of Faces and Expressions of Emotion—Kenny Hong, Stephan K. Chalup,

Robert A. R. King and Michael J. Ostwald

SS-0931 Artificial Companions with Personality and Social Role – Expectations from Users and Impact on the Design

of Groups of Companions—C. Clavel, C. Faur, J. -C. Martin, S. Pesty and D. Duhaut

IEEE Symposium on Computational Intelligence in Control and Automation

(IEEE CICA 2013)

IEEE CICA 2013 is the third IEEE Symposium on Computational Intelligence in Control and AutomationI would like to take

this opportunity to thank the organisation Committee of SSCI2013, all the authors, the members of the program committee

and the reviewers. It is your contributions and efforts that make this symposium possible.

The purpose of IEEE CICA 2013 is to bring together researchers, engineers, practitioners, and students from around the

world to discuss the latest advances in the theory and application of computational intelligence in control and automation.

It is very glad to see the symposium has received many new research results from various topics and applications of Computational

Intelligence in Control and Automation, including new theories and methods of Fault Detection and Diagnosis,

Fuzzy Systems and Control, System Identification and Modelling, Evolutionary Computation in Control and Automation,

Adaptive Control, and Applications of CI to Control and Automation.

Symposium Chair Xiao-Jun Zeng

University of Manchester, UK

Program Committee

Ivo Bukovsky, Czech Republic

Oscar Castillo, Mexico

Yuehui Chen, China

Joao Miguel da Costa Sousa,

Portugal

Mariagrazia Dotoli, Italy

Meng Joo Er, Singapore

John Q. Gan, U.K.

Kevin Guelton, France

Haibo He, USA

Hak-Keung Lam, U.K.

Fusaomi Nagata, Japan

Ying Tan, Australia

Tan Woei Wan, Singapore

Di Wang, Department, U.K.

Session: Fault Detection and Diagnosis

Chair: Kash Khorasani Co-Chair: Fouzi Harrou

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Swallow Level 3

Hua-Liang Wei, U.K.

Hao Ying, USA

Wen Yu, Mexico

Tiejun Zhang, USA

SS-0164 Enhanced Monitoring Using PCA-Based GLR Fault Detection and Multiscale Filtering—Fouzi Harrou,

Mohamed N. Nounou and Hazem N. Nounou

43

IEEE-CICAC 2013


IEEE-CICA 2013

IEEE-SSCI 2013: Technical Program

SS-0165 A Robust Fault Detection Scheme with an Application to Mobile Robots by Using Adaptive Thresholds

Generated with Locally Linear Models—Farzad Baghernezhad and K. Khorasani

SS-0536 Fault Diagnosis of Induction Motor Using CWT and Rough-Set Theory—Pratyay Konar, Moumita Saha, Jaya Sil

and Paramita Chattopadhyay

SS-0545 A New Eye Gaze Detection Algorithm Using PCA Features and Recurrent Neural Networks—

Thai-Hoang Huynh

SS-0489 Path Planning of a Data Mule in Wireless Sensor Network Using an Improved Implementation of

Clustering-Based Genetic Algorithm—Jing-Sin Liu, Shao-You Wu and Ko-Ming Chiu

Session: Fuzzy Systems and Control

Chair: Sendren Sheng-Dong Xu Co-Chair: Chian-Song Chiu

Date/Time: 13.30 – 15.10, Thu. 18 April 2013 Venue: Swallow Level 3

SS-0190 Study on a Combined Scheme by Using T-S Fuzzy and TSMC Approaches—Sendren Sheng-Dong Xu,

Yew-Wen Liang, Kuo-Chin Wang, Chih-Chiang Chen and Yi-Hsiang Cheng

SS-0212 Robust Output Feedback Control of T-S Fuzzy Time-Delay Systems—Chian-Song Chiu, Wen-Tsung Yang and

Tung-Sheng Chiang

SS-0322 Output Tracking of Fractional-Order Nonlinear Systems Via TS-FCMAC—Tung-Sheng Chiang

and Chian-Song Chiu

SS-0499 Optimization of Fuzzy Logic Controllers with Rule Base Size Reduction Using Genetic Algorithms—

Pintu Chandra Shill, Yoichiro Maeda and Kazuyuki Murase

SS-0746 Local Stability and Stabilization of Discrete-Time Takagi–Sugeno Fuzzy Systems Using Bounded Variation

Rates of the Membership Functions—Dong Hwan Lee

Keynote: Type-2 Fuzzy Control vs Type-1 Fuzzy Control: An Analytical Perspective

By Prof. Hao Ying Chair: Sundaram Suresh

Date/Time: 15.30 –16.30 Thu. 18 April 2013 Venue: Galleria Ballroom Level 3

Session: System Identification and Modelling

Chair: Hazem Nounou Co-Chair: Muddu Madakyaru

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0319 Enhanced Modeling of Distillation Columns Using Integrated Multiscale Latent Variable Regression—

Muddu Madakyaru, Mohamed N. Nounou and Hazem N. Nounou

SS-0320 Nonlinear Latent Variable Regression—Muddu Madakyaru, Mohamed N. Nounou and Hazem N. Nounou

SS-0453 Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response—

Andreas Geiger and Andreas Kroll

SS-0608 Mobile Augmented Reality Based Interactive Teaching & Learning System with Low Computation

Approach—Shitala Prasasd, Sateesh K. Peddoju and Debashis Ghosh

Session: Evolutionary Computation in Control and Automation

Chair: Ehab Bayoumi Co-Chair: Sendren Sheng-Dong Xu

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0098 Optimal Formation of Robots by Convex Hull and Particle Swarm Optimization—Jun Liu, Hongbin Ma,

Xuemei Ren and Mengyin Fu

SS-0203 Minimal Overshoot Direct Torque Control for Permanent Magnet Synchronous Motors Using Hybrid

Bacteria Foraging-Particle Swarm Optimization—Ehab H. E. Bayoumi

SS-0336 Fixed-Order H∞ Loop-Shaping Synthesis: A Time Domain Approach—Philippe Feyel, Gilles Duc and

Guillaume Sandou

SS-0354 An Effective Shuffled Frog-Leaping Algorithm for the Flexible Job-Shop Scheduling Problem—Ye Xu,

Ling Wang and Shengyao Wang

44


IEEE-SSCI 2013: Technical Program

Session: Adaptive Control with Applications

Chair: Jayantha Katupitiya Co-Chair: Ramaiah Subasri

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0139 Adaptive Control and Synchronization of a Class of Chaotic Systems in Which All Parameters are

Unknown—Chyun-Chau Fuh and Hsun-Heng Tsai

SS-0199 Application of Delay-Dependent Adaptive Control to a Continuous Stirred Tank Reactor—Hazem N. Nounou

and Mohamed N. Nounou

SS-0258 Discrete Direct Adaptive ELM Controller for Seismically Excited Non-Linear Base-Isolated Buildings—

R. Subasri, A. M. Natarajan and S. Suresh

SS-0516 Modelling of a 4WS4WD Vehicle and Its Control for Path Tracking—Michael R. Woods and Jay Katupitiya

Session: Applications of CI to Control and Automation

Chair: Ramaiah Subasri Co-Chair: Muhammad Mysorewala

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Swallow Level 3

SS-0018 Temperature Optimal Control of the Casting Billet Induction Heating Process Based on the BP Prediction

Model—Xu Zhe and Pan Sanqiang

SS-0423 Design and Implementation of Fuzzy-Logic Based Obstacle-Avoidance and Target-Reaching Algorithms on

NI’s Embedded-FPGA Robotic Platform—Muhammad Mysorewala, Khaled Alshehri, Eyad Alkhayat,

Adnan Al-Ghusain and Omar Al-Yagoub

SS-0580 Novel Dual Demand Side Management (2DSM) Scheme in Optimizing Utilization of Available

Power—Muhammad Gary Shafer, Kamalrulnizam Abu Bakar and Farah Ramadhani

SS-0610 Computational Intelligence and Low Cost Sensors in Biomass Combustion Process—Ján PiteI’ and Jozef Mižák

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0522 Intention Estimation Using Time-Varying Fuzzy Markov Models—Peter Liu and Chang-En Yang

SS-0356 A Continuous-Time Recurrent Neural Network for Real-Time Support Vector Regression—Qingshan Liu and

Yan Zhao

SS-0213 Design of Adaptive Moving-Target Tracking Control for Vision-Based Mobile Robot—You-Wei Lin and

Rong-Jong Wai

Posters Date/Time: 9.30 – 16.30, Fri. 19 April 2013 (Foyer Level 4)

SS-0065 Study on Distributed Internal Synchronization in a LAN Network—Lei Yang, Hu Lin and Liaomo Zheng

SS-0858 Neural Approach for Estimation of Global Energetic Efficiency Indicator in Water Extration Systems—Ivan N.

da Silva, José Ângelo Cagnon and Nilton José Saggioro

SS-0676 Smart 3D Pointing Device Based on MEMS Sensor and Bluetooth Low Energy—Kamil Židek and Ján Pitel’

IEEE Symposium on Computational Intelligence in Healthcare and e-Health

(IEEE CICARE 2013)

IEEE CICARE 2013 is the first Symposium of its kind, and will bring together leading research and clinical scientists, engineers,

practitioners, technology and solution providers in healthcare and e-health from around the world to discuss latest

advances in the field of computational intelligence applied to solving the growing scale and complexity of problems in

these inter-disciplinary domains. This symposium will provide a forum for the presentation of recent results in the theory

and practice of computational intelligence in healthcare and e-health systems and services, and there will also be Panel

discussions to outline future research directions and challenges.

IEEE CICARE 2013 is being held as part of the IEEE Symposium Series on Computational Intelligence (SSCI’2013), Singapore,

15 – 19 April 2013. IEEE SSCI 2013 is one of the two flagship biennial international events sponsored by the IEEE

Computational Intelligence Society (IEEE CIS) promoting all aspects of the theory and applications of computational intelligence.

The IEEE SSCI co-locates several technical meetings at one location. This event attracts top researchers, professionals,

and students from around the world. More details on: http://www.ntu.edu.sg/home/epnsugan/index_files/SSCI2013/

45

IEEE-CICA 2013


IEEE-CICARE 2013

IEEE-SSCI 2013: Technical Program

Symposium Chair(s) Amir Hussain

School of Natural Sciences, University of Stirling, Scotland, E-mail: ahu@cs.stir.ac.uk

Symposium Co-Chair(s) Calum MacRae

Harvard Medical School, Boston

Honorary Chair Warner Slack

Clinical Informatics Division, Harvard Medical School, Boston, USA

Symposium Secretary Kamran Farooq

University of Stirling, Scotland, UK

International Programme Committee

Stephen Leslie, Raigmore Hospital, Inverness, Scotland

Amir Shah, University Hospital Crosshouse,

Kilmarnock, Scotland

Aman Shams, Edinburgh Royal Infirmary, UK

Matt-Mouley Bouamrane, Wolson Medical School, University of

Glasgow, Scotland

Muaz Niazi, Bahria University, Pakistan

Azzam Taktak, The Royal Liverpool University

Hospital, UK

Mohamed Chetouani, University of Pierre Marie-Curie, France

Vassilis Cutsuridis, King’s College, London, UK

Anna Esposito, University of Naples, Italy

Marcos Faundez-Zanuy, Escola University-Politecnic Mataro, Spain

Erik Cambria, NUS, Singapore

Chris Eckl, Sitekit Solutions Ltd.

Campbell Grant, Sitekit Solutions Ltd.

Tingwen Huang, Texas A&M University at Qatar

Zdenek Smekal, Brno University of Technology, Czech Republic

Stefano Squartini, Ancona University, Italy

Sophia Ananiadou, University of Manchester, UK

Irfan Faridoon,

William Buchanan, Napier University

Vladimir Bajic, KAUST, Saudi Arabia

Junichi Tsujii, Microsoft Asia, Beijing

Frances Mair, University of Glasgow

Hollis Kowaloff, Beth Israel Clinical Informatics, USA

Marjorie Skubic, University of Missouri, Columbia, USA

Eric Chang, Microsoft Asia, Beijing

Amir Atiya, Cairo University, Egypt

Ricardo Imbert, University of Madrid, Spain

Fabio Augusto Gonzalez Osorio, National University of Colombia

Matthew Bailey, BHF Centre for Cardiovascular

Science, University of Edinburgh

Jozsef Farkas, University of Stirling, Scotland, UK

Kaizhu Huang, Institute of Automation, Chinese Academy of Sciences,

Beijing, China

Aziz Sheikh, Centre of Population Health Sciences,

University of Edinburgh

Kang Li, Queen’s University, Belfast

M. A. Rajak, Ucare Foundation, Glasgow

Keynote: Big Data and Clinical Decision Support Systems

By Prof. Henrique Martins Chair: Amir Hussain

Date/Time: 9.30 – 10.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

Session: e-Health’s Applications in Healthcare

Chair: Margaret Thorogood Co-Chair: Vong John

Date/Time: 10.50 - 12.20, Tue. 16 April 2013 Venue: Oriole Level 4

SS-0802 Personalized Health Care System with Virtual Reality Rehabilitation and Appropriate Information for

Seniors—Mohammed Alanbari, Diego Gachet Páez, Manuel de Buenaga and Beatriz Peña Martnez

SS-0897 Profiling Bell’s Palsy Based on House-Brackmann Score—Insu Song, Nguwi Yok Yen, John Vong,

Joahchim Diederich and Peter Yellowlees

SS-0697 A Cloud-Based Fuzzy System for the Risk Assessment of Coronary Heart Disease—Ruey Kei Chiu,

Sheng Jen Jian and Yeh Chuan Chen

SS-0077 A Comparison of Artificial Neural Network, Latent Class Analysis and Logistic Regression for Determining

which Patients Benefit from a Cognitive Behavioural Approach to Treatment for Non-Specific Low Back

Pain—Martine J. Barons, Nick Parsons, Frances Griffiths and Margaret Thorogood

Session: Medical Decision Support Systems in e-Health

Chair: Amir Hussain Co-Chair: Marten van Sinderen

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Oriole Level 4

SS-0240 Modeling Traditional Chinese Medicine Doctor’s Diagnosis Based on the Multimodal Dataset with

Subjectivity—Ying Dai

46


IEEE-SSCI 2013: Technical Program

SS-0265 A Decision-Support Simulator for Improving Patient Flow and Increasing Capacity at an Eye Outpatient

Department—C. K. Y. Lin

SS-1024 Efficient Clinical Decision Making by Learning from Missing Clinical Data—Kamran Farooq, Peipei Yang,

Amir Hussain, Kaizhu Huang, Calum MacRae, Chris Eckl and Warner Slack

SS-0386 Semantic Interoperability in Sensor Applications – Making Sense of Sensor Data—Paul Brandt, Twan Basten,

Sander Stuijk, Vinh Bui, Paul de Clercq, Luis Ferreira Pires and Marten van Sinderen

Keynote: Computational Intelligence in (e)Healthcare: Challenges and Opportunities

By Prof. Amir Hussain Chair: Henrique Martins

Date/Time: 9.30 – 10.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

Session: Computationally Intelligent Methods for CNS Research & Its Disorders

Chair: Mufti Mahmud Co-Chair: Pawel Raif

Date/Time: 10.50 – 12.20, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0470 Adapting Registration-Based-Segmentation for Efficient Segmentation of Thoracic 4D MRI—Yuxin Yang,

Eric Van Reeth and Chueh Loo Poh

SS-0634 A Brain-Computer Interface Test-Bench Based on EEG Signals for Research and Student Training—Paweł Raif,

Mufti Mahmud, Amir Hussain, Aleksandra Klos-Witkowska and Renata Suchanek

SS-0102 On Cognitive Radio-Based Wireless Body Area Networks for Medical Applications—Aqeel Raza Syed and

Kok-Lim Alvin Yau

Session: Computational Intelligence in Health Assessment and Monitoring

Chair: Erik Cambria Co-Chair: Newton Howard

Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0474 Patient Coordination in Emergency Departments Using Visualization of Operation Behavior—

Kristofer Bengtsson and Bengt Lennartson

SS-0967 A System for Limb-Volume Measurement Using 3D Models from an Infrared Depth Sensor—Guannan Lu,

G. N. DeSouza, Jane Armer, Blake Anderson and Chi-Ren Shyu

SS-0313 Multiple-Pathway Modeling of Tumor Blood Flow for Dynamic Contrast-Enhanced Imaging—Wen Shi,

Wee Ser and Tong San Koh

SS-0929 Evolving Classifiers to Inform Clinical Assessment of Parkinson’s Disease—Michael A. Lones, Jane E. Alty,

Stuart E. Lacy, D. R. Stuart Jamieson, Kate L. Possin, Norbert Schuff and Stephen L. Smith

Session: Prospects and Applications of Computational Intelligence in e-Health

Chair: Henrique Martins Co-Chair: Pawel Raif

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Nightingale Level 4

SS-0081 Activity Pattern Mining Using Temporal Relationships in a Smart Home—Mohamed Tarik Moutacalli,

Vincent Marmen, Abdenour Bouzouane and Bruno Bouchard

SS-0440 Healthcare System Design Focusing on Emotional Aspects Using Augmented

Reality – Relaxed Service Design—Somchanok Tivatansakul and Michiko Ohkura

SS-0650 Wireless Sensor Networks in Application to Patients Health Monitoring—Stanislaw Rajba, Teresa Rajba,

Paweł Raif and Mufti Mahmud

SS-0558 Data Mining Supported Analysis of Medical Atomic Force Microscopy Images—Stephan Hutterer,

Sandra Mayr, Gerald Zauner, Rene Silye and Kurt Schilcher

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0643 Development of Encoding and Dimensionality Reduction Algorithms for a Genomics Based Medical

Diagnostic Probe on Artificial Intelligence Platform—Emmanuel Adetiba, Frank A. Ibikunle and Ezekiel F. Adebiyi

47

IEEE-CICARE 2013


IEEE-CICOMMS 2013

IEEE-SSCI 2013: Technical Program

IEEE Symposium on Computational Intelligence for Communication Systems and

Networks (IEEE CIComms 2013)

Computational Intelligence (CI) is arguably one of the most powerful approaches for the optimization and design of complex

communication systems and networks in order to meet the requirements and need of new challenging applications. In

this framework, nature-inspired computational methodologies based on Fuzzy Logic Systems, Neural Networks and Evolutionary

Computation have been effectively applied as demonstrated by the significant increase in the number of research

publications and conferences/meetings organized worldwide. The introduction of innovative designs and advanced techniques

is fundamental to offer new capabilities to the next-generation services and applications.

Although the research on the CI applications has reached an impressive state, there are still many new research topics for

the applications of CI continually emerging, especially in communications and networking area such as antenna systems,

microwave devices and technologies, signal processing, design of computer networks. This symposium aims at bringing

researchers and engineers from academia and industry together to report, interact and review the latest progress of CI

applications in communications and networking, to explore future directions of research and to publicize CI applications to

a wider audience from diverse fields

Co-Chair(s) Sasitharan Balasubramaniam

Telecommunication Software and Systems Group, Waterford Institute of Technology, Ireland.

Program Committee

D. Botvich, Ireland

T. Nakano, Japan

K. Leibnitz, Japan

Y. Qin, China

D. Jena, India

H. Fu, USA

O. B. Akan, Turkey

D. Malone, Ireland

W. P. Cheah, Korea

Reviewers

Alan Davy

Andreas Constantinides

Anuj Prakash

Brad Zarikoff

David Luengo-Garcia

Davide Bacciu

Eleftherios Kofidis

Erol Gelenbe

Habib Dhahri

Hannes Muehleisen

Hasan Al-Rawi

Hui Cheng

Maode Ma

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

Paolo Rocca

Department of Information Engineering and Computer Science, University of Trento, Italy.

Julien Mineraud

Junichi Suzuki

Kenji Leibnitz

Kok-Lim Yau

Laurence T. Yang

Leandro Tortosa

Liming Fan

Manjaiah D h

R. Kibria, Australia

D. Meddour, France

D. He, China

A. Alphones, Singapore

R. Ahmed, Bengladesh

A. Massa, Italy

H. Guo, Singapore

B. Zarikoff, Ireland

R. Langar, Canada

Marjan Kuchaki Rafsanjani

Michael Frey

M. Fatih Tasgetiren

M. K. Tiwari

Norikazu Takahashi

Paolo Rocca

Pedro Coelho

Rabie Ramadan

Raghavendra Kulkarni

Raymond Carroll

Reinhard Teschl

Riyad Alshammari

N. Bouabdallah, France

P. Lio, UK

R. Carroll, Ireland

J. Suzuki, USA

K. K. Wong, UK

H. Wang, China

Q. Ni, UK

Sasitharan Balasubramaniam

Stepan Ivanov

Suzan Bayhan

Sven Tomforde

Session: Computational Intelligence for Communication

Chair: Noboru Ito, 050488in@is.sci.toho-u.ac.jp Co-Chair: Chuan-Kang Ting

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Kingfisher Level 4

Swagatam Das

Tadashi Nakano

Theodore Tsiligiridis

Vassilis Plagianakos

Veluchandhar Raajakandiyer

Vincenzo Loia

Vincenzo Piuri

Wieslaw Sienko

Yang Yu

Yi Shang

Ying Xu

SS-0019 Rotated-Cone-Programming Method for Designing Phase-Equalization System—Noboru Ito and Wei Qin

SS-0789 A New Meandering RFID Antenna Designed by Evolutionary Algorithm—Jizhi Chen, Meng Li, Sanyou Zeng,

Xiaolei Liang and Yongshan Zhang

SS-0445 Using Ant Colony Optimization to Design GPON-FTTH Networks with Aggregating Equipment—

Andrej Chu, Kin Fai Poon and Anis Ouali

SS-0109 Efficient Scheme for Load Balancing on Heterogeneous Biswapped Networks—Liting Sun and Chaonan Tong

48


IEEE-SSCI 2013: Technical Program

SS-0114 Route Selection for Minimizing Interference to Primary Users in Cognitive Radio Networks: A Reinforcement

Learning Approach—Hasan A. A. Al-Rawi and Kok-Lim Alvin Yau

Session: Computational Intelligence for Networks

Chair: Geoff Nitschke Co-Chair: Christophe Marsala

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Kingfisher Level 4

SS-0680 Matching Objects to User’s Queries in Web of Things’ Applications—Wenyi Xu, Christophe Marsala

and Benoit Christophe

SS-0779 Solving the Base Station Placement Problem by Means of Swarm Intelligence—Marcos Talau, Emilio C. G. Wille

and Heitor S. Lopes

SS-0872 Automated Network Application Classification: A Competitive Learning Approach—R. G. Goss

and G. S. Nitschke

SS-0961 Multilevel Broadcast Recipient Maximization in IEEE 802.16j Using Ant Colony Optimization—

Hao-Wen Chung and Chuan-Kang Ting

Posters Date/Time: 9.30 – 16.30, Thu, 18 April 2013 (Foyer Level 4)

SS-1018 Fuzzy Based Room Temperature Control by Integrating Sensors and Cameras with a Grid—

Seyed Mohamed Buhari, Nor Jaidi Tuah, Kim Onn Chong, Sei Guan Lim and Abd Ghani Naim

Posters Date/Time: 9.30 – 16.30, Fri. 19 April 2013 (Foyer Level 4)

SS-0022 MIMO Receivers for SFBC SC-FDMA Communication Systems—Fang-Biau Ueng, Ye-Shun Shen,

Jui-Chi Chang, Yu-Kuan Chang and Ming-Hsiao Hsu

SS-0772 Cost Effective Analysis of Web Based Transmission—Neil Williams, Kheng Cher Yeo and Sami Azam

IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS 2013)

Computational Intelligence constitutes an umbrella of techniques, has proven to be flexible in decision making in dynamic

environment. These techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural

Networks, Cellular Automata, Artificial Immune Systems and other similar computational models. The use of these

techniques allowed building robust decision support modules, providing cross-linking solutions to different cyber security

applications. In particular, to protect Internet users from Identity Theft, Phishing, Spam and other cyber infrastructure

threats, we need flexible, adaptable and robust cyber defense systems, which can make intelligent decisions (in near realtime)

in detecting wide variety of threats and attacks, including active and passive attacks, external attacks and internal misuses,

known and unknown attacks, viruses and spam, etc. Computational Intelligent (CI) techniques appear to be promising

to enhance cyber security measures, and have been increasingly applied in the area of information security and information

assurance. Moreover, the multi-faceted CI approaches appear to provide a new security paradigm to deal with influx of new

threats in a large network of computers.

The research papers presented in CICS symposium include Access Control for Wireless Networks, Hybrid-Network

Intrusion Detection System (H-NIDS) in Cloud Computing,Database Audit over Cloud Environment Using Forensic Analysis

Algorithm, Quantifying Encircling behavior in Complex Networks,Resilient Hybrid Overlay Model for Smart Grid,

Malware Classification using Author Identification, Image Visualization based Malware Detection, Steganography, Audio

encryption, Computational Intelligence for Static Software Checking Against Memory Corruption Vulnerabilities, etc.

Co-Chair(s)

Dipankar Dasgupta, The University of Memphis, USA Justin Zhan, National Center of Infrastructure Protection, USA

Kumaraguru Ponnurangam, IIIT Delhi, India

Program Committee

Robert K. Abercrombie, Oak Ridge National Laboratory, USA

Gail-Joon Ahn, Arizona State University, USA

Tansu Alpcan, Technical University at Berlin, Germany

49

Nikolaos Bartzoudis, CTTC, Barcelona, Spain

Elisa Bertino, Purdue University, USA

Marco Carvalho, Institute for Human and Machine Cognition, USA

IEEE-CICOMMS 2013


IEEE-CICS 2013

Nabendu Chaki, University of Calcutta, India

Bogdan Czejdo, Fayetteville State University, USA

Son K. Dao, HRL Laboratories, LLC, CA, USA

Sajal Das, University of Texas, Arlington, USA

Josep Domingo-Ferrer, Rovira i Virgili University, Spain

Gerry V. Dozier, North Carolina A. T. State University, USA

Anas Abou El Kalam, école Nationale Supérieure d’Ingénieur de

Bourges, France

Richard Ford, Florida Institute of Technology, USA

Sara Foresti, Università degli Studi di Milano, Italy

Padmavathi Ganapathi, Avinashilingam University, India

Debin Gao, Singapore Management University, Singapore

Solange Ghernaouti-Hélie, University of Lausanne, Switzerland

Michael R. Grimaila, Air Force Institute of Technology, USA

Drew Hamilton, Auburn University, USA

Tsan-Sheng Hsu, Academia Sinica, Taiwan

Murat Kantarcioglu, University of Texas at Dallas, USA

Engin Kirda, Institut Eurecom, France

Ponnurangam Kumaraguru, IIIT Delhi, India

Kwok-Yan Lam, Tsinghua University, China

Gary B. Lamont, Air Force Institute of Technology, USA

C. Veni Madhavan, Indian Institute of Science, Bangalore, India

Rabinarayan Mahapatra, Texas A & M, USA

Reviewers

Robert K. Abercrombie

Gerry V. Dozier

Sara Foresti

Padmavathi Ganapathi

Martin Rehak

Sankardas Roy

Sugata Sanyal

Shamik Sural

Josep Domingo-Ferrer

Murat Kantarcioglu

Qishi Wu

Kwok-Yan Lam

IEEE-SSCI 2013: Technical Program

Kouichi Sakurai

Fabio Sangiacomo

Franz Kurfess

Atilla Elci

Venkata Krishna

Balakrishnan Sarojini

Yasuo Okabe

Michal Sramka

Kave Salamatian

Yuan-Liang Wang

El-Sayed El-Alfy

Solange Ghernaouti

Antonio Manzalini, Telecom Italia, Italy

Owen McCusker, Sonalysts, USA

Srinivas Mukkamala, New Mexico Tech, USA

Suku Nair, Southern Methodist University, USA

Sihan Qing, Chinese Academy of Sciences, China

Srini Ramaswamy, ABB Corporate Research Center, Bangalore, India

Martin Rehak, Czeck Technical University, Czeck Republic

Sankardas Roy, Howard University, USA

Andrzej Rucinski, University of New Hampshire, USA

Kouichi Sakurai, Kyushu University, Japan

Xinyuan (Frank) Wang, George Mason University, USA

Sugata Sanyal, Tata Consultancy Services , India

Indranil Sengupta, Indian Institute of Technology, India

Frederick Sheldon, Oak Ridge National Laboratory, USA

Victor Skormin, Binghamton University, USA

Mario Strasser, ETH Zürich, Switzerland

Shamik Sural, Indian Institute of Technology, Kharagpur, India

Alexander Tarakanov, St. Petersburg Institute for Informatics, Russia

Shambhu Upadhyaya, State University of New York at Buffalo, USA

Da-Wei Wang, Academia Sinica, Taiwan

Qishi Wu, University of Memphis, USA

Nan Zhang, George Washington University, USA

Pramod Jamkhedkar

Nedunchezhian Raju

Irfan Ahmed

Muddassar Farooq

Trevor Martin

Tao Ban

Mong-Fong Horng

Rajalakshmi Nedunchezhian

P. Ilango

Simon Miller

Session: CICS-1

Chair: Dipankar Dasgupta Co-Chair: A. Nur Zincir-Heywood

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0343 Indoor Geo-Fencing and Access Control for Wireless Networks—Hossein Rahimi, A. Nur Zincir-Heywood and

Bharat Gadher

SS-0409 Quantifying Encircling Behaviour in Complex Networks—Mahendra Piraveenan, Shahadat Uddin,

Kon Shing Kenneth Chung and Dharshana Kasthurirathna

SS-0593 Evolving OWA Operators for Cyber Security Decision Making Problems—Simon Miller, Jonathan M. Garibaldi

and Susan Appleby

SS-0985 A Novel Hybrid-Network Intrusion Detection System (H-NIDS) in Cloud Computing—Chirag N. Modi and

Dhiren Patel

Session: CICS-2

Chair: Gerry Dozier Co-Chair: Ratan Guha

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0992 What Defines an Intruder? An Intelligent Approach—Hector M. Lugo-Cordero and Ratan K. Guha

SS-0688 Evolving Indigestible Codes: Fuzzing Interpreters with Genetic Programming (Position Statement)—

Sanjay Rawat, Fabien Duchene, Roland Groz and Jean-Luc Richier

50


IEEE-SSCI 2013: Technical Program

SS-0737 Image Visualization Based Malware Detection—Kesav Kancherla and Srinivas Mukkamala

Session: CICS-3

Chair: Srinivas Mukkamala Co-Chair: P. Kumaraguru

Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Canary II Level 4

SS-0700 Resilient Hybrid Overlay Model for Smart Grid – RHM for Smart Grid—Shubhalaxmi Kher, Victor Nutt and

Dipankar Dasgupta

SS-0416 Higher Dimensional Chaos for Audio Encryption—S. Ganesh Babu and P. Ilango

Keynote: Artifacts and Indicators Analysis in Cyber Security

By Prof. Ratan K. Guha Chair: Dipankar Dasgupta

Date/Time: 13.30 – 14.30, Thu. 18 April 2013 Venue: Lyrebird Level 3

Posters Date/Time: 9.30 – 16.30, Wed. 17 April 2013 (Foyer Level 4)

SS-0467 Applications of Computational Intelligence for Static Software Checking Against Memory Corruption

Vulnerabilities—Marcos Alvares, Tshilidzi Marwala and Fernando Buarque de Lima Neto

IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013)

The 2013 IEEE Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2013) covers research in the field of

computational intelligence applied to issues in data mining algorithms, applications, software and data and process mining

systems, gathering together experts from academia as well as industry to discuss recent developments in the field.

IEEE CIDM 2013 has attracted 80 submissions of which 30 could be accepted as talks and 19 as posters. The symposium

is organized in 7 sessions: three special sessions on “Interpretable systems in machine learning, data analysis, and

visualization”, “Process Mining”, and “Data Mining in Industrial Applications”, accompanied by three regular sessions on

“Computational intelligence methods for high dimensional data and time series”, “Efficient classification and clustering”,

“Computational Intelligence for Multimedia Data and Social Media”, and a dedicated poster session including poster

spotlights.

We are happy to also welcome two renowned experts in their fields as keynote speakers: Alessandro Sperduti will present

research on “Learning with kernels for streams of structured data” and Kay Chen Tan will deliver a keynote on “Advances

in Evolutionary Learning and Optimization”.

Chair(s)

Barbara Hammer

Nanjing University, China

Nitesh Chawla

University of Notre Dame, USA

Program Committee

Hussein Abbass, Australia Defence Force Academy, Australia

Michael Aupetit, CEA LIST, France

Monica Bianchini, University of Siena, Italy

Michael Biehl, University of Groningen, The Netherlands

Jonathan Chan, KMUTT, Thailand

Shu-Ching Chen, Florida International University, USA

Songcan Chen, NUAA, China

Sung-Bae Cho, Yongsei University, Korea

Seungjin Choi, Pohang University of Science and Technology, Korea

Jose Alfredo F. Costa, Federal University at RN State, Brazil

Sven F. Crone, Lancaster University Management School, UK

Hai-Bin Duan, Beihang University, China

51

Zhi-Hua Zhou

Nanjing University, China

Lipo Wang

Nanyang Technological University, Singapore

Mark Embrechts, RPI, USA

Floriana Esposito, University of Bari, Italy

Colin Fyfe, University of Glasgow, UK

Yang Gao, Nanjing University, China

Larry Hall, University of South Florida, USA

Haibo He, Univ. Rhode Island, USA

Xiaofei He, Zhejiang University, China

Francisco Herrera, University of Granada, Spain

Tom Heskes, University of Nijmegen, The Netherlands

Cao Tru Hoang, Ho Chi Minh City Univ Tech., Vietnam

Joshua Huang, CAS Shenzhen, China

Xiaodi Huang, Charles Sturt University, Australia

IEEE-CICS 2013


IEEE-CIDM 2013

Eyke Huellermeier, Uni-Marburg, Germany

Johannes Jain, Berlin University of Technology, Germany

Janusz Kacprzyk, Polish Academy of Science, Poland

Mehmed Kantardzic, University of Louisville, USA

Nikola Kasabov, AUT University, New Zealand

Philip Kegelmeyer, Sandia National Laboratories, USA

Tamara Kolda, Sandia National Laboratories, USA

James Kwok, Hong Kong University, Hong Kong

Wai Lam, Chinese University of Hong Kong, Hong Kong

Vincent C. S. Lee, Monash University, Australia

Yuh-Jye Lee, National Taiwan University of Science and Technology,

Taiwan

John A. Lee, Universite Catholique du Louvain, Belgium

Philippe Lenca, Telecom Bretagne, France

Ming Li, Nanjing University, China

Tianrui Li, Southwest University, China

Guozheng Li, Tongji University, China

Xue Li, University of Queensland, Australia

Xiaolin Li, Nanjing University, China

Shou-De Lin, National Taiwan University, Taiwan

Paulo Lisboa, Liverpool John Moores University, UK

Xu-Ying Liu, Southeast University, China

Baoding Liu, Tsinghua University, China

Ying Liu, Korea Advanced Institute of Science and Technology, Korea

Erzsebet Merenyi, Rice University Houston, USA

Alessio Micheli, University of Pisa, Italy

Ian Nabney, Aston University, UK

Oliver Obst, CSIRO ICT Centre Sydney, Australia

Rong Pan, Zhongshan University, China

Jose M. Pena, Univ. Politecnica de Madrid, Spain

Martin Riedmiller, University of Fribourg, Germany

Fabio Roli, University of Cagliari, Italy

Fabrice Rossi, University Paris 1, France

Ulrich Rueckert, Bielefeld University, Germany

Joseph Rynkiewicz, University Paris 1, France

Isaam Saeed, The University of Melbourne, Australia

Benjamin Schrauwen, University of Gent, Belgium

IEEE-SSCI 2013: Technical Program

Friedhelm Schwenker, University of Ulm, Germany

Udo Seiffert, Fraunhofer-Institut IFF Magdeburg, Germany

Diego Sona, PAVIS Istituto Italiano di Tecnologia, Italy

Yangqiu Song, Microsoft, China

Alessandro Sperduti, University of Padova, Italy

Ashok Srivastava, NASA, USA

Jochen Steil, Bielefeld University, Germany

Karsten Steinhaeuser, University of Minnesota, USA

Mu-Chun Su, National Central University, Taiwan

Changyin Sun, Southeast University, China

Johan Suykens, K. U. Leuven, Belgium

Ryszard Tadeusiewicz, AGH University of Science and Technology,

Poland

Roberto Tagliaferri, University of Salerno, Italy

Peter Tino, University of Birmingham, UK

Dat Tran, University of Canberra, Australia

Vincent Tseng, National Cheng Kong University, Taiwan

Laurens van der Maaten, Delft University, The Netherlands

Sebastian Ventura, University of Cordoba, Spain

Michel Verleysen, Universite Louvain la Neuve, Belgium

Brijesh Verma, Central Queensland University, Australia

Fan Wang, Microsoft Research, USA

Hifeng Wang, Baidu, China

Hao Wang, St Francis Xavier University, Canada

Michal Wozniak, Wroclaw University of Technology, Poland

Hui Xiong, Rutgers University, USA

Hujun Yin, University of Manchester, UK

Yang Yu, Nanjing University, China

Xiaoqin Zeng, HoHai University, China

Du Zhang, California State Univ at Sacramento, USA

Yanqing Zhang, Georgia State University, USA

Junping Zhang, Fudan University, China

Changshui Zhang, Tsinghua University, China

Mengjie Zhang, Victoria Univ Wellington, New Zealand

Min-Ling Zhang, Southeast University, China

Xinquan Zhu, Technology University Sydney, Australia

Keynote: Learning with Kernels for Streams of Structured Data

By Prof. Alessandro Sperduti Chair: Barbara Hammer

Date/Time: 9.30 – 10.30, Tue. 16 April 2013 Venue: Galleria Ballroom Level 3

Session: Interpretable Systems in Machine Learning, Data Analysis, and Visualization

Chair: Michael Biehl Co-Chair: Nitesh Chawla

Date/Time: 10.50 – 12.30, Tue. 16 April 2013 Venue: Swallow Level 3

SS-0540 Interpretable Models from Distributed Data Via Merging of Decision Trees—Artur Andrzejak, Felix Langner

and Silvestre Zabala

SS-0255 Regularization and Improved Interpretation of Linear Data Mappings and Adaptive Distance

Measures—Marc Strickert, Barbara Hammer, Thomas Villmann and Michael Biehl

SS-0759 Quantitative Measurements of Model Interpretability for the Analysis of Spectral Data—Andreas Backhaus and

Udo Seiffert

SS-0434 Automated Selection of Interaction Effects in Sparse Kernel Methods to Predict Pregnancy Viability—

Vanya Van Belle and Paulo Lisboa

SS-0244 Interpreting Individual Classifications of Hierarchical Networks—Will Landecker, Michael D. Thomure,

Luís M. A. Bettencourt, Melanie Mitchell, Garrett T. Kenyon and Steven P. Brumby

52


IEEE-SSCI 2013: Technical Program

Session: Data Mining in Industrial Applications

Chair: Yi Lu Murphey Co-Chair: Zhiwei Xu

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Cardinal Level 3

SS-0131 Kernel Spectral Clustering for Predicting Maintenance of Industrial Machines—Rocco Langone, Carlos Alzate,

Bart De Ketelaere and Johan A. K. Suykens

SS-0993 Machine Learning of Engineering Diagnostic Knowledge from Unstructured Verbatim Text

Descriptions—Yinghao Huang, Yi L. Murphey and Yao Ge

SS-0694 A Novel Fuzzy Classification to Enhance Software Regression Testing—Zhiwei Xu, Yi Liu and Kehan Gao

SS-0515 Ready-to-Use Activity Recognition for Smartphones—Pekka Siirtola and Juha Röning

Session: Computational Intelligence Methods for High Dimensional Data and Time Series

Chair: Andreas Backhaus Co-Chair: Michael Biehl

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Swallow Level 3

SS-0276 How to Extract Meaningful Shapes from Noisy Time-Series Subsequences?—Yanfei Kang, Kate Smith-Miles and

Danijel Belušić

SS-0183 Discovery of Topological Relations for Spatial Activity Recognition—Kevin Bouchard, Abdenour Bouzouane and

Bruno Bouchard

SS-0520 Spatio-Temporal Event Detection Using Probabilistic Graphical Models (PGMs)—Azadeh Mousavi,

Matt Duckham, Ramamohanarao Kotagiri and Abbas Rajabifard

SS-0546 Combining Semi-Supervised and Active Learning for Hyperspectral Image Classification—Mingzhi Li,

Rui Wang and Ke Tang

SS-0162 Detecting Abnormal Ozone Levels Using PCA-Based GLR Hypothesis Testing—Fouzi Harrou,

Mohamed N. Nounou and Hazem N. Nounou

Session: Process Mining

Chair: Andrea Burattin Co-Chair: Alessandro Sperduti

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0648 Business Models Enhancement Through Discovery of Roles—Andrea Burattin, Alessandro Sperduti

and Marco Veluscek

SS-0366 Discovering Signature Patterns from Event Logs—R. P. Jagadeesh Chandra Bose and Wil M. P. van der Aalst

SS-0665 A Principled Approach to Mining From Noisy Logs Using Heuristics Miner—Philip Weber, Behzad Bordbar and

Peter Tiˆno

SS-0387 Wanna Improve Process Mining Results? It’s High Time We Consider Data Quality Issues Seriously—

R. P. Jagadeesh Chandra Bose, Ronny S. Mans and Wil M. P. van der Aalst

SS-0675 A Two-Step Fast Algorithm for the Automated Discovery of Declarative Workflows—Claudio Di Ciccio and

Massimo Mecella

Keynote: Advances in Evolutionary Learning and Optimization

By Dr. K. C. Tan Chair: Zhi-Hua Zhou

Date/Time: 13.30 – 14.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

Session: Efficient Classification and Clustering

Chair: Artur Andrzejak Co-Chair: Nitesh Chawla

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Swallow Level 3

SS-0063 Supervised Novelty Detection—Vilen Jumutc and Johan A. K. Suykens

SS-0439 A Hierarchy of Independence Assumptions for Multi-Relational Bayes Net Classifiers—Oliver Schulte,

Bahareh Bina, Branden Crawford, Derek Bingham and Yi Xiong

SS-0104 Detecting Pixel-Value Differencing Steganography Using Levenberg-Marquardt Neural Network—

El-Sayed M. El-Alfy

53

IEEE-CIDM 2013


IEEE-CIDM 2013

IEEE-SSCI 2013: Technical Program

SS-0206 Improving Genetic Programming Classification for Binary and Multiclass Datasets—Nailah Al-Madi and

Simone A. Ludwig

SS-0999 Unsupervised Multimodal VAD Using Sequential Hierarchy—Rameez Ahmad, Syed Paymaan Raza

and Hafiz Malik

Session: Computational Intelligence for Multimedia Data and Social Media

Chair: Oliver Schulte Co-Chair: Barbara Hammer

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0151 A Semantic Subspace Learning Method to Exploit Relevance Feedback Log Data for Image Retrieval—

Lining Zhang, Lipo Wang and Weisi Lin

SS-0182 Web Product Ranking Using Opinion Mining—Yin-Fu Huang and Heng Lin

SS-0663 Transaction-Based Link Strength Prediction in a Social Network—Hassan Khosravi, Ali Bozorgkhan

and Oliver Schulte

SS-0636 SAE: Social Adaptive Ensemble Classifier for Data Streams—Heitor Murilo Gomes and Fabrício Enembreck

SS-0838 Software Cost Estimation by Classical and Fuzzy Analogy for Web Hypermedia Applications: A Replicated

Study—Ali Idri and Azeddine Zahi

Poster Highlights: Swallow (14.40 - 15.20), Level 3

Poster Display: Foyer Level 4 (9.30 - 16.30) Date: Wed 17 April 2013

SS-0603 Predicting YouTube Content Popularity via Facebook Data: A Network Spread Model for Optimizing

Multimedia Delivery—Dinuka A. Soysa, Denis Guangyin Chen, Oscar C. Au and Amine Bermak

SS-0370 E-mail Address Categorization Based on Semantics of Surnames—Suresh Veluru,

Yogachandran Rahulamathavan, P. Viswanath, Paul Longley and Muttukrishnan Rajarajan

SS-0947 A Self-Organizing Time Map for Time-to-Event Data—Peter Sarlin

SS-0505 Interpretable Magnification Factors for Topographic Maps of High Dimensional and Structured

Data—Nikolaos Gianniotis

SS-0945 Automatic Service Composition Using POMDP and Provenance Data—Mahsa Naseri and Simone A. Ludwig

SS-0457 A Comprehensive Benchmarking Framework (CoBeFra) for Conformance Analysis Between Procedural

Process Models and Event Logs in ProM—Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen and

Bart Baesens

SS-0744 Nonnegative Matrix Factorization and Artificial Immune Based Classification for Fault Diagnosis of Diesel

Valve Train—Yongsheng Yang, Gang Li, Yongsheng Zhu and Youyun Zhang

SS-0764 A Summary-Based Database Flexible Querying—Minyar Sassi-Hidri

SS-0382 Automotive Diagnosis Typo Correction Using Domain Knowledge and Machine Learning—Yinghao Huang,

Yi Lu Murphey and Yao Ge

SS-0460 Revised Online Learning with Kernels for Classification and Regression—Guoqi Li, Ning Ning,

Kiruthika Ramanathan and Luping Shi

SS-0026 A Novel Quantum Cooperative Co-Evolutionary Algorithm for Large-Scale Minimum Attribute Reduction

Optimization—Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan and Jiandong Wang

SS-0497 Selection of a Robust Experimental Design for the Effective Modeling of Nonlinear Systems Using Genetic

Programming—K. Tai and A. Garg

SS-0413 GPU-Accelerated eXtended Classifier System—Mani Abedini, Michael Kirley, Raymond Chiong

and Thomas Weise

SS-0815 Semantic Annotation Tools Survey—Pedro Oliveira and João Rocha

SS-0796 Class-Dependent Canonical Correlation Analysis for Scalable Cross-Lingual Document

Categorization—Mohamed Farouk Abdel Hady and Mina Asham

SS-0480 Assessment of Voting Ensemble for Estimating Software Development Effort—Mahmoud O. Elish

SS-0491 Mining Social Networks’ Arabic Slang Comments—Taysir Hassan A. Soliman, Mostafa A. Elmasry,

Abdel Rahman Hedar and M. M. Doss

54


IEEE-SSCI 2013: Technical Program

IEEE Symposium on Computational Intelligence in Dynamic and Uncertain

Environments (IEEE CIDUE 2013)

IEEE CIDUE 2013 is the second IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments,

following its inception in 2011 in Paris by the same orgainzers. The purpose of this symposium is to bring together scientists,

engineers, and graduate students to present and discuss recent advances in employing CI for solving scientific and

engineering problems in the presence of uncertainties.

After a peer review process, 14 papers have been accepted for oral presentation from 16 high-quality submissions. Theses

accepted papers represent most recent advances in algorithm development as well as applications of CI techniques in

optimization and learning in dynamic and uncertain environments. One Keynote speech by Prof Y. Jin will be delivered, providing

an overview of the state-of-the-art in evolutionary optimization in uncertain environments and focusing on emerging

new ideas and real-world applications. It is hoped that this symposium will further promote the synergies between research

efforts on evolution and learning in uncertain environments, and attract interests of more young researchers and industrial

practitioners to this continuously growing area.

Co-Chair(s)

Yaochu Jin

University of Surrey, UK

Program Committee

Robi Polikar

Rowan University, USA

Hamid Bouchachia, University of Klagenfurt, Austria

Anabela Simoes, University of Coimbra, Portugal

Peter Bosman, Centrum voor Wiskunde en Informatica,

The Netherlands

Ke Tang, University of Science and Technology of China, China

David Pelta, University of Granada, Spain

Ponnuthurai Suganthan, Nanyang Tech. University, Singapore

Manuel Roveri, University of Pisa, Italy

Albert Bifet, University of Waikato, New Zealand

Gregory Ditzler, Drexel University, USA

Cesare Alippi, Politecnico di Milano, Italy

Juergen Branke, University of Wawick, UK

Hui Cheng, University of Bedfordshire

Chi-Keong Goh, Rolls-Royce Advanced Technology Centre, Singapore

Haibo He, University of Rhode Island, USA

Ivan Koychev, Bulgarian Academy of Sciences, Bulgaria

Xiaodong Li, RMIT University, Australia

Yew-Soon Ong, Nanyang Tech. University, Singapore

Hendrik Richter, Leipzig University of Applied Sciences

Philipp Rohlfshagen, University of Essex, UK

Moamar Sayed Mouchaweh, URCA, France

Qingfu Zhang, University of Essex, UK

Indr˙ežliobait ˙e, Bournemouth University, UK

Shengxiang Yang

Brunel University, UK

Shengxiang Yang, Brunel University, UK

Robi Polikar, Rowan University, USA

Yaochu Jin, University of Surrey, UK

Kay Chen Tan, National University of Singapore, Singapore

A. Sima Etaner-Uyar, Istanbul Technical University, Turkey

Dirk V. Arnold, Dalhousie University, Canada

Yingjie Yang, De Montfort University, UK

Jinliang Ding, Northeastern University, China

Xiaochuan Luo, Northeastern University, China

Shengping Yu, Northeastern University, China

Bin Li, University of Science and Technology of China, China

Carlos Coello Coello, CINVESTAV-IPN, Mexico

Swagatam Das, Indian Statictical Institute, India

Changhe Li, China University of Geosciences, China

Sanyou Zeng, China University of Geosciences, China

Xiaoyan Sun, China University of Mining and Technology

Dunwei Gong, China University of Mining and Technology

Maoguo Gong, Xidian University, China

Chuan-Kang Ting, National Chung Cheng University, ROC

Shih-Hsin Chen, Nanhua University, ROC

Aimin Zhou, East China Normal University, China

Haibin Duan, Beihang University

Keynote: Evolutionary Optimization in Dynamic and Uncertain Environments

By Prof. Yaochu Jin Chair: Andries Engelbrecht

Date/Time: 8.30 – 9.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

Session: Surrogate-Assisted and Dynamic Optimization

Chair: Y. Jin Co-Chair: Engelbrecht Andries

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0172 Similarity-Based Evolution Control for Fitness Estimation in Particle Swarm Optimization—Chaoli Sun,

Jianchao Zeng, Jengshyang Pan and Yaochu Jin

SS-0495 Recurrent Neural Network Ensembles for Convergence Prediction in Surrogate-Assisted Evolutionary

Optimization—Christopher Smith, John Doherty and Yaochu Jin

55

IEEE-CIDUE 2013


IEEE-CIDUE 2013

IEEE-SSCI 2013: Technical Program

SS-0525 Issues with Performance Measures for Dynamic Multi-Objective Optimisation—Mardé Helbig and

Andries P. Engelbrecht

SS-0681 Takeover Time in Dynamic Optimization Problems—Yesnier Bravo, Gabriel Luque and Enrique Alba

SS-1007 Surrogate Enhanced Interactive Genetic Algorithm with Weighted Gaussian Process—Shanshan Chen,

Xiaoyan Sun, Dunwei Gong and Yong Zhang

Session: Learning in Dynamic Environments

Chair: R. Polikar Co-Chair: Yaochu Jin

Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0326 Dynamic Significant Feature Extraction for Embedded Intelligent Agent Implementations—Koldo Basterretxea,

Inés del Campo, María Victoria Martínez and Javier Echanobe

SS-0329 Co-Evolutionary Learning in the N-Choice Iterated Prisoner’s Dilemma with PSO Algorithm in a Spatial

Environment—Xiaoyang Wang, Huiyou Chang, Yang Yi and Yibin Lin

SS-0441 An Incremental Approach for Updating Approximations of Rough Fuzzy Set Under the Variation of

Attribute Values—Anping Zeng, Tianrui Li, Chuan Luo and Junbo Zhang

SS-0618 Discounted Expert Weighting for Concept Drift—Gregory Ditzler, Gail Rosen and Robi Polikar

SS-0848 LDCnet: Minimizing the Cost of Supervision for Various Types of Concept Drift—Piotr Sobolewski and

Michał Wo´zniak

Session: Dynamic Evolution and Learning: Benchmarks and Applications

Chair: David Corne Co-Chair: Dun-Wei Gong

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0216 A Modular Technique for Monthly Rainfall Time Series Prediction—Jesada Kajornrit, Kok Wai Wong

and Chun Che Fung

SS-0544 Benchmarks for Dynamic Multi-Objective Optimisation—Mardé Helbig and Andries P. Engelbrecht

SS-0669 A Memetic Algorithm for Dynamic Economic Load Dispatch Optimization—Sunny Orike and David W. Corne

SS-0919 A Bayesian Network Model for Evacuation Time Analysis During a Ship Fire—Parvaneh Sarshar,

Jaziar Radianti, Ole-Christoffer Granmo and Jose J. Gonzalez

IEEE Symposium on Computational Intelligence and Ensemble Learning

(IEEE CIEL 2013)

Ensemble learning attempts to enhance the performance of systems (clustering, classification, prediction, feature selection,

search, optimization, rule extraction, etc.) by using multiple models instead of using a single model. This approach is intuitively

meaningful as a single model may not always be the best for solving a complex problem while multiple models are

more likely to yield results better than each of the constituent models. Although in the past, ensemble methods have been

mainly studied in the context of classification and time series prediction, recently they are being used in algorithms in other

scenarios such as clustering, fuzzy systems, evolutionary algorithms, dimensionality reduction and so on.

The aim of this symposium is to bring together researchers and practitioners who are working in the overlapping fields

of ensemble methods and computational intelligence. Papers dealing with theory, algorithms, analysis, and applications of

ensemble of computational intelligence methods are sought for this symposium.

Co-Chair(s)

Nikhil R Pal

ISI, Kolkatta, India

Program Committee

Ashish Anand, India

J. Balasubramaniam, India

S. Baskar, India

Jyh-Yeong Chang, Taiwan

Shyi-Ming Chen, Taiwan

I-F Chung, Taiwan

Bartosz Krawczyk, Poland

Xin Yao

University of Birmingham, UK

Swagatam Das, India

Pradip Ghanty, India

Amit Konar, India

Arijit Laha, India

Jane J Liang, China

Q-K Pan, China

G. Pugalenthi, Kingdom of Saudi Arabia

56

P. N. Suganthan

Nanyang Technological University, Singapore

A. K. Qin, France

B-Y Qu, China

Rammohan Mallipeddi, Korea

Ke Tang, China

M. Fatih Tasgetiren, Turkey

Shizheng Zhao, Singapore


IEEE-SSCI 2013: Technical Program

Keynote: Ensemble Approaches in Learning

By Prof. Xin Yao Chair: Ke Tang

Date/Time: 9.30 – 10.30, Thu. 18 April 2013 Venue: Galleria Ballroom Level 3

Session: Ensemble Classifiers I

Chair: Michal Wozniak Co-Chair: Norbert Jankowski

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0238 Fast Heterogeneous Boosting—Norbert Jankowski

SS-0385 Classifiers with a Reject Option for Early Time-Series Classification—Nima Hatami and Camelia Chira

SS-0484 Visualisation of High-Dimensional Data Using an Ensemble of Neural Networks—Nikolaos Gianniotis and

Carsten Riggelsen

SS-0786 K-Nearest Neighbor Based Bagging SVM Pruning—Ren Ye, Zhang Le and P. N. Suganthan

SS-0823 Instance Based Random Forest with Rotated Feature Space—Le Zhang, Ye Ren and P. N. Suganthan

Session: Ensemble Classifiers II

Chair: David Powers Co-Chair: Xin Yao

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0588 A Learning Framework for Online Class Imbalance Learning—Shuo Wang, Leandro L. Minku and Xin Yao

SS-0677 Accuracy and Diversity in Classifier Selection for One-Class Classification Ensembles—Bartosz Krawczyk and

Michał Wo´zniak

SS-0642 Overproduce-and-Select: The Grim Reality—Ulf Johansson, Tuve Löfström and Henrik Boström

SS-0671 On Diversity Measures for Fuzzy One-Class Classifier Ensembles—Bartosz Krawczyk and Michał Wo´zniak

SS-0283 Reduct Based Ensemble of Learning Classifier System for Real-Valued Classification Problems—Essam Debie,

Kamran Shafi, Chris Lokan and Kathryn Merrick

IEEE Symposium on Computational Intelligence for Engineering Solutions

(IEEE CIES 2013)

This Symposium is focused on the utilization of Computational Intelligence in the entire field of engineering. Developments

in Engineering are characterized by a growing complexity, which is balanced by an extensive utilization of computational

resources. This complexity is not only a feature of engineering systems, processes and products, it is primarily a key attribute

of the respective algorithms for analysis, control and decision-making to develop those engineering solutions. To cope with

complexity in this broad spectrum of demands, Computational Intelligence is implemented increasingly in virtually all

engineering disciplines. This emerging approach forms a basis for developments of a new quality. CIES provides a forum

for the presentation and discussions of advancements in this context.

The final technical program consists of 35 papers for oral presentation organized in 7 sessions according to their technical

themes and of additional 4 poster presentations. These papers demonstrate how the implementation of key concepts of

computational intelligence can emerge into significant advancements in various specific engineering developments. Two

keynote lectures are scheduled under CIES, which will provide overviews on the utilization of computational intelligence in

structural analysis and design and on fuzzy applications in ground vehicle engineering with focus on identification. We hope

that this compilation of CIES will nurture fruitful discussions and the identification of new directions and collaboration.

Co-Chair(s)

Michael Beer

University of Liverpool, UK

Program Committee

Hojjat Adeli, The Ohio State University, USA

James L. Beck, California Institute of Technology, USA

Oscar Castillo, Tijuana Institute of Technology, Mexico

Chang Che Sau, National University of Singapore, Singapore

Dimitar P. Filev, Ford Motor Company, USA

Vladik Kreinovich

The University of Texas at El Paso, TX, USA

57

Rudolf Kruse

University of Magdeburg, Germany

Michael Fisher, University of Liverpool, UK

Hitoshi Furuta, Kansai University, Japan

Wolfgang Graf, Dresden University of Technology, Germany

Jorge E. Hurtado, National University of Colombia, Colombia

Lambros S. Katafygiotis, The Hong Kong University of Science &

IEEE-CIEL 2013


IEEE-CIES 2013

Technology, Hong Kong, China

Valentin Ivanov, Ilmenau University of Technology, Germany

Kevin S.C. Kuang, National University of Singapore, Singapore

Tenreiro Machado, Polytechnic Institute of Porto, Portugal

Ralf Mikut, University of Karlsruhe, Germany

Paluri S. V. Nataraj, Indian Institute of Technology Bombay, India

IEEE-SSCI 2013: Technical Program

Detlef Nauck, British Telecom, UK

Quek Ser Tong, National University of Singapore, Singapore

Thomas Runkler, Siemens AG, Germany

Tai Kang, Nanyang Technological University, Singapore

Enrico Zio, Polytechnic of Milan, Italy

Session:

Chair: Co-Chair:

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0189 Optimization of Structural Support Locations Using a Hybrid Genetic Algorithm—Jin Cheng and Yin Li

SS-0253 The Applications of Computational Intelligence in System Reliability Optimization—Bo Xing, Wen-Jing Gao

and Thilidzi Marwla

SS-0678 Interactive Particle Swarm Optimization for the Architectural Design of Truss Structures—Juliana Felkner,

Eleni Chatzi and Toni Kotnik

SS-0399 Modified Binary Differential Evolution for Solving Wind Farm Layout Optimization Problems—Dazhi Jiang,

Chenfeng Peng, Zhun Fan, Yan Chen and Xinye Cai

Session:

Chair: Co-Chair:

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0542 A Multi-Objective Particle Swarm Optimization for Dual-Resource Constrained Shop Scheduling with

Resource Flexibility—Jing Zhang, Wanliang Wang, Xinli Xu and Jing Jie

SS-0705 Research on Hydropower Station Optimal Scheduling Considering Ecological Water Demand—Wanliang

Wang, Li li, Xinli Xu, Xu Cheng and Yanwei Zhao

SS-0589 A Hybrid Evolutionary Algorithm for OFDM Resource Allocation—Hai-lin Liu and Qiang Wang

SS-0934 Cost Functions for Assessment of Vehicle Dynamics—Dzmitry Savitski, Jiri Plihal, Pavel Nedoma,

Jaroslav Machan, Valentin Ivanov and Klaus Augsburg

Keynote: Computational Intelligence in Structural Analysis and Design

By Prof. Michael Beer Chair: Vladik Kreinovich

Date/Time: 14.30 – 15.30, Thu. 18 April 2013 Venue: Lyrebird Level 3

Session:

Chair: Co-Chair:

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Paradiso Level 3

SS-0875 Assessment of Rollover Stability Based on Risk Indicator – Case Study for an Electric Vehicle—Bin Wang,

Alessandro Victorino, Ali Charara, Klaus Augsburg and Kristian Höpping

SS-0886 Analysis of Subsystems Coordination for Electric Vehicle During Straight-Line Braking and

Brake-in-Turn—Barys Shyrokau, Danwei Wang, Lukas Heidrich and Kristian Höpping

SS-0579 Designing a Fully Automated Hierarchical Fuzzy Logic Controllers Using Evolutionary Algorithms—

Pintu Chandra Shill and Kazuyuki Murase

SS-0683 Efficient Serial and Parallel SVM Training Using Coordinate Descent—Emmanuel Liossis

SS-0303 FATHOMing Out Interdisciplinary Research Transfer—Keeley A. Crockett, James D. O’Shea, Fiona J. Buckingham

Zuhair A. Bandar, Kathleen M. MacQueen, Mario Chen and Kelly Simpson

Session:

Chair: Co-Chair:

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Paradiso Level 3

SS-0323 An Interactive Genetic Algorithm-Based Image Sharpening System Considering User’s Liking—

Yoshiaki Ueda, Yohei Kuramoto, Ryosuke Kubota, Noriaki Suetake and Eiji Uchino

58


IEEE-SSCI 2013: Technical Program

SS-0717 Real-Coded Genetic Algorithm for Solving Multi-Area Economic Dispatch Problem—Huynh Thi Thanh Binh

and Tran Kim Toan

SS-0218 Computational Intelligence-Based Identification of Maximally Sustainable Materials: The Case of Liquid

Containers—Tatiana Tambouratzis, Dimitris Karalekas and Nikolaos G. Moustakas

SS-0357 A Hybrid Approach to Co-Reference Identification Within Museum Collections—David Croft, Simon Coupland

and Stephen Brown

Keynote: Fuzzy Applications in Ground Vehicle Engineering: Focus on Identification

By Dr. Valentin Ivanov Chair: Michael Beer

Date/Time: 13.30 – 14.30, Fri. 19 April 2013 Venue: Galleria Ballroom Level 3

Session:

Chair: Co-Chair:

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Paradiso Level 3

SS-0373 An Artificial Neural Network Based Approach for Power Spectrum Estimation and Simulation of Stochastic

Processes Subject to Missing Data—Liam A. Comerford, Ioannis A. Kougioumtzoglou and Michael Beer

SS-0605 Parameter Estimation in an Uncertain and Noisy Environment Via Set Inversion—R. Merheb, L. Mora

and E. Palomo

SS-0020 Hazard Analysis for Safety-Critical Systems Using SOFL—Azma Binti Abdullah and Shaoying Liu

SS-0732 A Smart Agent to Trade and Predict Foreign Exchange Market—Mohamed Taher Alrefaie, Alaa-Aldine Hamouda

and Rabie Ramadan

Session:

Chair: Co-Chair:

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Paradiso Level 3

SS-0660 From p-Boxes to p-Ellipsoids: Towards an Optimal Representation of Imprecise Probabilities—

Konstantin K. Semenov and Vladik Kreinovich

SS-0187 Construction of Confidence Interval on Mean Value with Interval Data—Kais Zaman and Shahriar M. Khan

SS-0729 Data Anonymization that Leads to the Most Accurate Estimates of Statistical Characteristics—Gang Xiang and

Vladik Kreinovich

SS-0039 Predicting Mine Dam Levels and Energy Consumption Using Artificial Intelligence Methods—Ali N Hasan,

Bhekisipho Twala and Tshilidzi Marwala

SS-0082 Classification of Day-Ahead Prices in Asia’s First Liberalized Electricity Market Using PNN—S. Anbazhagan,

K. Pravin and N. Kumarappan

Posters Date/Time: 9.30 – 16.30, Fri. 19 April 2013 (Foyer Level 4)

SS-0454 Augmenting Simulations with Measurements – Application to Building-Scale Wind-Flow Modeling—

Didier Gabriel Vernay, Benny Raphael and Ian F. C. Smith

SS-0061 A Hybrid Discrete Artificial Bee Colony Algorithm for the Optimization of Process Plans—Can Qu,

Chaoyong Zhang, Liangliang Jin and Xinyu Shao

SS-0147 Online ANFIS Controller Based on RBF Identification and PSO—Ali Moltajaei Farid, S. Masoud Barakati and

Navid Seifipour

SS-0733 A Multiobjective Particle Swarm Optimization Algorithm for Load Scheduling in Electric Smelting

Furnaces—Weijian Kong, Jinliang Ding, Tianyou Chai, Xiuping Zheng and Shengxiang Yang

SS-0805 Transitions-Based System: A Relevant Use Case—Thomas Raimbault, David Genest and Stéphane Loiseau

59

IEEE-CIES 2013


IEEE-CIFEr 2013

IEEE-SSCI 2013: Technical Program

IEEE Symposium on Computational Intelligence for Financial Engineering &

Economics (IEEE CIFEr 2013)

The CIFEr Conference is the major collaboration between the professional engineering and financial communities, and is one

of the leading forums for new technologies and applications in the intersection of computational intelligence and financial

engineering and economics. Intelligent computational systems have become indispensable in virtually all financial applications,

from portfolio selection to proprietary trading to risk management.

This CIFEr 2013 program has a total of 20 oral presentations divided into four sessions, featuring the recent progresses

in agent-based modeling of markets, portfolio optimization, financial time series analysis, and financial patterns and risk

management. In addition to these 20 orals, we have two post papers on other interesting economic and financial applications.

To provide general audience a quick access to some recent progresses in financial engineering, a tutorial on systemic risks

will be given by Akira Namatame.

Co-Chair(s)

Shu-Heng Chen

Taiwan

Program Committee

Payman Arabshahi, University of Washington, USA

Robert Golan

Dbmind Technologies, USA

Phillip Bennet, Deutche Bank, USA

Anthony, Brabazon University College, Dublin, Ireland

Mark Broadie, Columbia University, USA

Derek Bunn, London Business School, UK

Chenghui Cai Duke, University, USA

Agostino Capponi, Purdue University, USA

Oscar Castillo, Tijuana Inst. Technology, Mexico

Pei-Chann Chang, Yuan Ze University, Taiwan

Shu-Heng Chen, National Chengchi University, Taiwan

Vladimir Cherkassky, University of Minnesota, USA

Sung-Bae Cho, Yonsei University Korea

Jan Dash J. Dash, Consultants LLC, USA

Herbert Dawid, Bielefeld University, Germany

Suash Deb, C. V. Raman College of Engineering, India

Vasant Dhar Stern, NYU, USA

Roy S. Freedman, Inductive Solutions, Inc, USA

Adam Ghandar, University of Adelaide, Australia

Manfred Gilli, University of Geneva, Switzerland

Salvo Greco, University of Catania, Italy

Uzay Kaymak, Erasmus University Rotterdam, Netherlands

Milan Lovric, Erasmus University Rotterdam, Netherlands

Thomas Lux, University of Kiel and Kiel Institute for the World Economy,

Germany

Jose M. Merigo, University of Barcelona, Spain

Dietmar Maringer, University of Essex, Switzerland

David Martens, University of Antwerp, Belgium

Han La Poutre

CWI, Netherlands

Ronald R. Yager

Iona College, USA

Serafin Martinez-Jaramillo, Mexican Central Bank, Mexico

Scott Mathews, Boeing, USA

Benjamin Melamed, Rutgers University, USA

Attilio Meucci, Kepos Captial, USA

Asuncion Mochon, Universidad Carlos III de Madrid, Spain

Daniel Paraschiv, CIMRU National University of Ireland, Ireland

Adrian Paschke, Technical University Dresden, Germany

Zachary Pessin, Distributed Capital Inc, USA

David Quintana, Universidad Carlos III de Madrid, Spain

Graham Rong, MIT Sloan School of Management, USA

Yago Saez, Universidad Carlos III de Madrid, Spain

Peter Sarlin, A o

bo Akademi University, Finland

Antoaneta Serguieva, Brunel University, UK

Roman Slowinski, Poznan University of Technology, Poland

Edward Tsang, University of Essex, UK

Stanislav Uryasev, University of Florida, USA

Dirk Van den Poel, Ghent University, Belgium

Jan Vanthienen, Katholieke Universiteit Leuven, Belgium

Daniel Veit, University of Mannheim Germany

Lipo Wang, Nanyang Technological University, Singapore

Garnett Wilson, Afinin Labs Inc., Canada

Donald C. Wunsch, Missouri University, USA

Rachel L. Yager, Metropolitan College of New York, USA

Xin Yao, University of Birmingham, UK

Philip Yu, Hong Kong University, China

Wojciech Ziarko, University of Regina, Canada

Session: Agent-Based Modeling of Markets

Chair: Shu-Heng Chen Co-Chair: Uzay Kaymak

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0116 Price Variation Limits and Financial Market Bubbles: Artificial Market Simulations with Agents’ Learning

Process—Takanobu Mizuta, Kiyoshi Izumi and Shinobu Yoshimura

SS-0531 Analysis on the Number of XCS Agents in Agent-Based Computational Finance—Tomohiro Nakada and Keiki

Takadama

SS-0731 Empirical Anaylsis of Liquidity Provision of an Order Driven Market—William Cheung

SS-0782 A Study of Dark Pool Trading Using an Agent-Based Model—Sheung Yin Kevin Mo, Mark Paddrik

and Steve Y. Yang

SS-0362 How (In)Efficient is After-Hours Trading?—Aistis Raudys, Esther Mohr and Günter Schmidt

60


IEEE-SSCI 2013: Technical Program

Session: Portfolio Optimization

Chair: Shu-Heng Chen Co-Chair: Uzay Kaymak

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0620 Forecasting Foreign Exchange Rates Using Support Vector Regression – An Empirical Evaluation of Mean

Reversion Using Bollinger Bands—Farhad Bahramy and Sven F. Crone

SS-0305 Optimal Portfolio for a Robust Financial System—Yoshiharu Maeno, Satoshi Morinaga, Kenji Nishiguchi and

Hirokazu Matsushima

SS-0577 DynOpt: Incorporating Dynamics into Mean-Variance Portfolio Optimization—Marco Signoretto

and Johan A. K. Suykens

SS-0591 Multi-Objective Evolutionary Algorithm for Multi-Project and Multi-Term Portfolio Problem—Yuan Zhou,

Hailin Liu and Wenqin Chen

SS-0853 Portfolio Optimization Using Improved Artificial Bee Colony Approach—Angela H. L. Chen, Yun-Chia Liang

and Chia-Chien Liu

Session: Financial Time Series Analysis

Chair: Shu-Heng Chen Co-Chair: Uzay Kaymak

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Oriole Level 4

SS-0896 A New Approach for Time Series Prediction Using Ensembles of ANFIS Models with Interval Type-2 and

Type-1 Fuzzy Integrators—Jesus Soto, Patricia Melin and Oscar Castillo

SS-0236 Cluster Analysis of High-Dimensional High-Frequency Financial Time Series—Syed A. Pasha

and Philip H. W. Leong

SS-0368 Simplified Evolving Rule-Based Fuzzy Modeling of Realized Volatility Forecasting with Jumps—L. Maciel, F.

Gomide, R. Ballini and R. Yager

SS-0501 Empirical Analysis of Model Selection Criteria for Genetic Programming in Modeling of Time Series

System—A. Garg, S. Sriram and K. Tai

SS-0543 Optimum Quantizing of Monotonic Nondecreasing Arrays—William W. Y. Hsu, Cheng-Yu Lu, Ming-Yang Kao

and Jan-Ming Ho

Tutorial: Validating Simulation Models

By Dr. Robert Marks Chair: Shu-Heng Chen

Date/Time: 8.30 – 10.30, Fri 19 April 2013 Venue: Lyrebird Level 3

Tutorial: Simulation Models on Systemic Risks

By Dr. Akira Namatame Chair: Shu-Heng Chen

Date/Time: 13.30 – 15.30, Fri 19 April 2013 Venue: Lyrebird Level 3

Session: Financial Patterns and Risk Management

Chair: Shu-Heng Chen Co-Chair: Uzay Kaymak

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Oriole Level 4

SS-0075 A Probabilistic Risk-to-Reward Measure for Evaluating the Performance of Financial Securities—

Phil Maguire, Philippe Moser, Jack McDonnell, Robert Kelly, Simon Fuller and Rebecca Maguire

SS-0124 Crowdsourced Stock Clustering Through Equity Analyst Hypergraph Partitioning—John Robert Yaros and

Tomasz Imielinski

SS-0132 Intraday Forex Bid/Ask Spread Patterns - Analysis and Forecasting—Andrius Paukšt˙e and Aistis Raudys

SS-0462 Explicit Formulas for Optimal Hedging Stratergies for European Contingent Claims—Vijaysekhar Chellaboina,

Anil Bhatia and Sanjay P. Bhat

61

IEEE-CIFEr 2013


IEEE-CIFEr 2013

IEEE-SSCI 2013: Technical Program

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0400 Monte Carlo Methods in Spatio-Temporal Regression Modeling of Migration in the EU—

Maurizio Manuguerra, Georgy Sofronov, Massimiliano Tani and Gillian Heller

SS-0396 Balance Sheet Outlier Detection Using a Graph Similarity Algorithm—Steve Yang and Randy Cogill

SS-0943 —

IEEE Symposium on Computational Intelligence for Human-like Intelligence

(IEEE CIHLI 2013)

CIHLI 2013 is the first IEEE Symposium on Computational Intelligence for Human-like Intelligence. The main goal of the

Symposium is to promote and advance research activities related to all facets of human-like intelligence. In many research

domains the existing state-of-the-art CI solutions significantly differ from the human competence level. Even though it is

generally not clear whether human-like approach would show its upper-hand over existing methods, the exploration of this

research path seems to be advantageous and challenging.

Symposium topics of interest include, among others, problem solving based on intuition, creativity, insight, curiosity and

imagination; the use of spatio-temporal signal properties; chunk-based representations; hierarchical knowledge representation;

the role of motivation in autonomous behavior; guiding role of emotions in discovery; machine consciousness; lifelong

learning, transfer learning and multitask learning; cognitively-plausible architectures and systems.

The final technical program consists of 17 submissions divided among three different sessions. The Symposium will

feature two keynote lectures delivered by Prof. Hussein Abbass and Prof. Yew-Soon Ong and a special session organized

by Prof. Ben Goertzel. The Symposium has brought together scientists interested in theoretical developments in the area of

cognitive science and in designing solutions to various engineering, AI, optimization and control problems inspired by and

competing with the human level intelligence.

Co-Chair(s)

Jacek Mańdziuk

Warsaw University of Technology, Poland,

mandziuk@mini.pw.edu.pl,

Homepage: http://www.mini.pw.edu.pl/ ˜mandziuk/

Program Committee

Igor Aleksander, Imperial College, Great Britain

Itamar Arel, University of Tennessee, USA

Mark Bishop, University of London, Great Britain

Peter Boltuc, University of Illinois at Springfield, USA

Vadim Bulitko, University of Alberta, Canada

Sung Bae Cho, Yonsei University, Korea

David B. Fogel, Natural Selection, Inc., USA

Stan Franklin, University of Memphis, USA

Ben Goertzel, Novamente LLC, USA

Janusz Kacprzyk, Polish Academy of Science, Poland

Nikola Kasabov, Auckland University of Technology, New Zealand

Luis C. Lamb, Federal University of Rio Grande do Sul, Brazil

Giuseppe Lo Re, University of Palermo, Italy

Bob McKay, Seoul National University, Korea

Yew Soon Ong, Nanyang Technological University, Singapore

Wlodzislaw Duch

Nicolaus Compernicus University, Poland,

duch@is.umk.pl,

Homepage: http://www.is.umk.pl/˜duch/

Giovanni Pilato, Institute for High Performance Computing and Networking

ICAR, Italy

Michal Ptaszynski, Hokkai-Gakuen University, Japan

James A. Reggia, University of Maryland, USA

Leszek Rutkowski, Czestochowa University of Technology, Poland

Juergen Schmidhuber, Univesity of Lugano, Switzerland

J. Ignacio Serano, Spanish National Research Council (CSIC), Spain

Hava Siegelmann, University of Massachusetts, USA

Janusz Starzyk, Ohio University, USA

Kay Chen Tan, National University of Singapore, Singapore

Ah-Hwee Tan, Nanyang Technological University, Singapore

Stephen Thaler, Imagination Engines, Inc., USA

Kristinn Thorisson, Reykjavik University, Iceland

Lipo Wang, Nanyang Technological University, Singapore

Pei Wang, Temple University, USA

Roseli Wedemann, State University of Rio de Janeiro, Brazil

Keynote: Human Experiments in Computational Intelligence

By Prof. Hussein Abbass Chair: Jacek Mańdziuk

Date/Time: 10.30 – 11.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

62


IEEE-SSCI 2013: Technical Program

Session: Various Facets of Human-like Intelligence

Chair: Jacek Mańdziuk Co-Chair: Janusz Starzyk

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Cardinal Level 3

SS-0064 Cognitive Agent and Its Implementation in the Blender Game Engine Environment—Janusz A. Starzyk and

Paweł Raif

SS-0661 Transitioning from Motivated to Cognitive Agent Model—James Graham and Janusz A. Starzyk

SS-0177 Multi-Game Playing – A Challenge for Computational Intelligence—Jacek Mandziuk, Yew Soon Ong and Karol

Waledzik

SS-0596 Perception and Prediction - A Connectionist Model—Laxmi R. Iyer and Seng-Beng Ho

SS-1002 Comprehensiveness and Interpretability of Linguistic Data Summaries: A Natural Language Focused

Perspective—Janusz Kacprzyk and Slawomir Zadro˙zny

Session: Special Session on General Intelligence in Embodied Agents

Chair: Ben Goertzel Co-Chair: Wojciech Skaba

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0327 The Creativity Mechanisms in Embodied Agents: An Explanatory Model—Jiˇrí Wiedermann

SS-0641 Evaluating Actuators in a Purely Information-Theory Based Reward Model—Wojciech Skaba

SS-0704 A Connectionist Model for 2-Dimensional Modal Logic—Min Jiang, Yang Yu, Fei Chao, Minghui Shi and

Changle Zhou

SS-0509 The CogPrime Architecture for Embodied Artificial General Intelligence—Ben Goertzel, Shujing Ke,

Ruiting Lian, Jade O’Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins and Gino Yu

SS-0510 A Mind-World Correspondence Principle—Ben Goertzel

Session: Various Facets of Human-like Intelligence

Chair: Wlodzislaw Duch Co-Chair: Jacek Mandziuk

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0818 Novel Methods for Energy-Based Cultural Modeling and Simulation: Why Eight is Great in Chinese

Culture—Daniel J. Olsher and Toh Heng Guan

SS-0821 Cogview & Intelnet: Nuanced Energy-Based Knowledge Representation and Integrated

Cognitive-Conceptual Framework for Realistic Culture, Values and Concept-Affected Systems

Simulation—Daniel J. Olsher

SS-0997 BrainGene: Computational Creativity Algorithm that Invents Novel Interesting Names—Maciej Pilichowski

and Wlodzislaw Duch

SS-0271 Characteristics and Heuristics of Human Intelligence—David M W Powers

SS-0716 Sentic Blending: Scalable Multimodal Fusion for the Continuous Interpretation of Semantics and

Sentics—Erik Cambria, Newton Howard, Jane Hsu and Amir Hussain

Keynote: A Human-Inspired Memetic Computational Search Paradigm

By Dr. Yew-Soon Ong Chair: Jacek Mańdziuk

Date/Time: 16.30 – 17.30, Thu. 18 April 2013 Venue: Galleria Ballroom Level 3

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0902 Internal Control of Human Cognition – Guidance from Theory to Model the Mind—Peter G. Burton

63

IEEE-CIHLI 2013


IEEE-CIMI 2013

IEEE-SSCI 2013: Technical Program

IEEE International Workshop on Computational Intelligence in Medical Imaging

(IEEE CIMI 2013)

Nowadays medical imaging provides major aid in many branches of medicine and enables and facilitates the capture, transmission

and analysis of medical images as well as provides assistance towards medical diagnoses. Medical imaging is still

on the rise with new imaging modalities being added and continuous improvements of devices’ capabilities. Recently, computational

intelligence techniques (such as neural networks or evolutionary algorithms) have been employed in various

applications in the area of medical imaging. Approaches based on computational intelligence have been shown to be advantageous

compared to classical approaches, in particular when classical solutions are hard or impossible to formulate and

analyse. The International Workshop on Computational Intelligence in Medical Imaging, held as part of the IEEE Symposium

Series on Computational Intelligence 2013, is envisaged as a compilation of the latest trends and developments in

the field of computational intelligence in medical imaging. CIMI 2013 is the 5th installment of the workshop which was

previously held in Paris in 2008, in Cyprus in 2009 and in Paris in 2011.

Chair(s)

Gerald Schaefer

Department of Computer Science, Loughborough University,

Loughborough, U.K., gerald.schaefer@ieee.org

Session: Medical Image Processing

Chair: Andrea Valsecchi Co-Chair: Syoji Kobashi

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Sharma Level 4

Sergio Damas

European Center for Soft Computing, Mieres, Asturias, Spain,

sergio.damas@softcomputing.es

SS-0869 A Priori Knowledge Based Deformable Surface Model for Newborn Brain MR Image Segmentation—

Syoji Kobashi, Aya Hashioka, Yuki Wakata, Kumiko Ando, Reiichi Ishikura, Kei Kuramoto, Tomomoto Ishikawa, Shozo

Hirota and Yutaka Hata

SS-0282 Phantom-Based Evaluation of Isotropic Reconstruction of 4-D MRI Volumes Using Super-Resolution—

Eric Van Reeth, Ivan WK Tham, Cher Heng Tan and Chueh Loo Poh

SS-0841 A Fully Automatic Probabilistic 3D Approach for the Detection and Assessment of Pleural Thickenings from

CT Data—Kraisorn Chaisaowong, Chaicharn Akkawutvanich, Christoph Wilkmann and Thomas Kraus

SS-0956 Genetic Algorithms for Voxel-Based Medical Image Registration—Andrea Valsecchi, Sergio Damas,

José Santamaría and Linda Marrakchi-Kacem

Session: Medical Image Classification

Chair: Syoji Kobashi Co-Chair: Andrea Valsecchi

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Sharma Level 4

SS-0622 Computer Aided Diagnostic System for Grading of Diabetic Retinopathy—Anam Tariq, M. Usman Akram and

M. Younus Javed

SS-0850 Combining One-Class Classifiers for Imbalanced Classification of Breast Thermogram Features—

Bartosz Krawczyk, Gerald Schaefer and Michal Wo´zniak

SS-0494 Detection of Onset of Alzheimer’s Disease from MRI Images Using a GA-ELM-PSO Classifier—S. Saraswathi,

B. S. Mahanand, A. Kloczkowski, S. Suresh and N. Sundararajan

SS-0571 Lung Nodule Detection in CT Images Using Neuro Fuzzy Classifier—Anam Tariq, M. Usman Akram

and M. Younus Javed

IEEE International Symposium Computational Intelligence for Multimedia Signal

and Vision Processing (IEEE CIMSIVP 2013)

The International Symposium Computational Intelligence for Multimedia Signal and Vision Processing (CIMSVP) involves

theory and applications of non-traditional computational intelligence approaches in signal and vision processing. Topics for

this Symposium include:

Bio-inspired Vision, Neuronal mechanisms of visual processing, Low level vision and its relationship to biological

machinery, Artificial learning systems for image and information processing, Evidential reasoning for recognition, Active

visual perception, attention and robot vision, Functional Magnetic Resonance Imaging (fMRI) studies of visual segmentation

and perception.

64


IEEE-SSCI 2013: Technical Program

Application of computational intelligence techniques in multimedia and vision processing. The technical program

attracted many interesting papers in CIMSVP related areas. The final program is grouped into three clusters such as

Bio-inspired visión, Artificial learning for Image Processing and Multimedia Signal/Image Processing and Databases. The

papers in each of the clusters discuss both theoretical and applied concepts in CIMSVP.

We thank the authors, reviewers, the program committee members for CIMSVP, the panel organizers, panel speakers and

the organizers of 2013 IEEE SSCI. We hope you will enjoy the 2013 CIMSVP Symposium.

Chair(s)

Khan M Iftekharuddin

Old Dominion University, USA

Program Committee

Azzedine Beghdadi, Université Paris 13, France

Yoonsuck Choe, Texas A&M University, USA

Robert B. Fisher, University of Edinburgh, UK

Karl Gudmundsson, University of Iceland, Iceland

Minho Lee, Kyungpook National University, Republic of Korea

Zicheng Liu, Microsoft Research, USA

Nuria Oliver, Telefonica R&D, Barcelona, Spain

Lam Phung, University of Wollongong, Australia

Bertram Shi, Hong Kong University of Science and Technology, Hong

Kong

Rufin VanRullen, CNRS, Toulouse, France

Fok Hing Chi Tivive, University of Wollongong, Australia

Salim Bouzerdoum

University of Wollongong, Australia

Juan Andrade Cetto, Universitat Politècnica de Catalunya, Spain

Curt H. Davis, University of Missouri, USA

Onur Hamsici, Ohio State University, USA

Tony X. Han, University of Missouri, USA

Hongjun Jia, University of North Carolina, USA

James Keller, University of Missouri, USA

Pascal Matsakis, University of Guelph, Canada

Pradit Mittrapiyanuruk, Srinakharinwirot University, Thailand

Johnny Park, Purdue University, USA

Hamid Tizhoosh, University of Waterloo, Canada

Patrick G Xavier, Sandia Lab, USA

Keynote: Machine Learning for Neural Engineering Applications

By Dr. Justin Dauwels Chair: Paulo Lisboa

Date/Time: 10.30 – 11.30, Thu. 18 April 2013 Venue: Lyrebird Level 3

Session: Bio-inspired Vision and Applications

Chair: Chaman L. Sabharwal Co-Chair:

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0570 Efficient Determination of Spatial Relations Using Composition Tables and Decision Trees—Nathan Eloe,

Jennifer Leopold, Chaman Sabharwal and Douglas McGeehan

SS-0024 Smooth Transition Neighborhood Graphs for 3D Spatial Relations—Chaman L. Sabharwal

and Jennifer L. Leopold

SS-0527 Biomimetic Target Detection: Modeling 2 nd Order Correlation of OFF and ON Channels—

Steven D. Wiederman and David C. O’Carroll

SS-0279 A Novel Algorithm for Detecting Dim Point Target in Infrared Images Based on MRF—Zhengrong Zuo and

Yongjian Zhao

Session: Active Vision and Applications

Chair: Chaman L. Sabharwal Co-Chair:

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0530 Robust Gesture Detection and Recognition Using Dynamic Time Warping and Multi-Class Probability

Estimates—Pramod Kumar Pisharady and Martin Saerbeck

SS-0188 Regularized High Temporal Resolution Fish Motion Synthesis—Jing Tian and How-Lung Eng

Posters Date/Time: 9.30 – 16.30, Wed. 17 April 2013 (Foyer Level 4)

SS-0403 Using Fuzzy Rough Feature Selection for Image Retrieval System—Maryam Shahabi Lotfabadi,

Mohd Fairuz Shiratuddin and Kok Wai Wong

65

IEEE-CIMSIVP 2013


IEEE-CIMSIVP 2013

IEEE-SSCI 2013: Technical Program

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0562 Forward-Backward Minima Controlled Recursive Averaging to Speech Enhancement—Yeou-Jiunn Chen and

Jiunn-Liang Wu

SS-0217 A Survey of Target Detection Algorithms for Hyperspectral Imagery—Nagesh Poojary, M. R. Puttaswamy,

Hasmitha Dsouza and G. Hemantha Kumar

IEEE Symposium on Computational Intelligence in Production and Logistics Systems

(IEEE CIPLS 2013)

The management of production and logistics systems in today’s fiercely competitive environment is a difficult task and has

become progressively complex. Major changes in products, processes, technologies, and societies bring along remarkable

challenges and increasing market demands. Modelling and optimisation of complex problems arising in production and

logistics systems is of paramount importance in surviving and achieving competitive gains in productivity and quality.

Within this context, the IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)

aims to address all issues related to the design, planning, control, and continuous improvement of production and logistics

systems using computational intelligence techniques. In the inaugural CIPLS 2011, which was held in Paris, we received 22

submissions and accepted 8 full papers. CIPLS 2013 is the second one, and we were delighted to have received 28 submissions.

Among them, we have accepted 19 papers and rejected 9. These papers cover a wide variety of methodologies, ranging

from conventional search methods to unconventional nature-inspired algorithms, and tackled various types of problems

including transportation scheduling, assembly line balancing, logistics planning and vehicle routing, among others.

We would like to thank all the authors for their contributions, and the program committee members for their efforts

throughout the reviewing process. Without them, this event would not have been possible.

Finally, we would also like to thank Ponnuthurai Nagaratnam Suganthan, the general chair of the IEEE Symposium Series

on Computational Intelligence 2013, for his coordination and assistance.

Co-Chair(s)

Bülent Çatay

Sabanci University, Turkey

Program Committee

Enrique Alba, University of Málaga, Spain

Bernardo Almada-Lobo, University of Porto, Portugal

Panagiotis Angeloudis, Imperial College London, UK

Tolga Bektas, University of Southampton, UK

Christian Bierwirth, University Halle-Wittenberg, Germany

Héctor Cancela, University of the Republic, Uruguay

Maurice Clerc, http://mauriceclerc.net, France

Moussa Diaf, University of Tizi-Ouzou, Algeria

Deniz Türsel Eliiyi, Izmir University of Economics, Turkey

Mourad Fakhfakh, University of Sfax, Tunisia

Martin Grunow, Technical University of Munich, Germany

Richard Hartl, University of Vienna, Austria

Florian Jaehn, University of Augsburg, Germany

Joerg Laessig, University of Applied Sciences Zittau/Goerlitz,

Germany

Guohua Ma, Wentworth Institute of Technology, USA

Frank Meisel, University Halle-Wittenberg, Germany

Zbigniew Michalewicz, University of Adelaide, Australia

Raymond Chiong

The University of Newcastle, Australia

Patrick Siarry

Université Paris XII Val de Marne, France

Arvind Mohais, SolveIT Software Pty Ltd, Australia

Nicolas Monmarché, University of Tours, France

Luc Muyldermans, University of Nottingham, UK

Sylvie Norre, Blaise Pascal University, France

Ceyda Oguz, Koc University, Turkey

Temel Öncan, Galatasaray University, Turkey

Erwin Pesch, University of Siegen, Germany

Henri Pierreval, Clermont University, France

Miguel A Salido, Polytechnic University of Valencia, Spain

Guillaume Sandou, Supelec, France

Ruhul A Sarker, University of New South Wales, Australia

Sven Schellenberg, SolveIT Software Pty Ltd, Australia

Claudio Toledo, University of Sao Paulo, Brazil

Özgür Toy, Turkish Naval Academy, Turkey

Stefan Voß, University of Hamburg, Germany

Thomas Weise, University of Science and Technology of China, China

Farouk Yalaoui, Technical University of Troyes, France

Rui Zhang, Nanchang University, China

Session: Logistics I

Chair: Tolga Bektas Co-Chair: Raymond Chiong

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0215 A Task Based Approach for A Real-World Commodity Routing Problem—Jianjun Chen, Ruibin Bai, Rong Qu

and Graham Kendall

66


IEEE-SSCI 2013: Technical Program

SS-0264 Balancing Tour Durations in Routing a Vehicle Fleet—Tolga Bektas

SS-0614 Time-Differentiated Service Parts Distribution: Costs Under Hierarchical and Non-Hierarchical

Setups—Mohsin Nasir Jat and Luc Muyldermans

SS-0950 Stacking Under Uncertainty: We Know How to Predict, But How Should We Act?—Hado van Hasselt

and Han La Poutré

SS-0378 Equivalent Machine Method for Approximate Evaluation of Buffered Unreliable Production Lines—

Yassine Ouazene, Hicham Chehade, Alice Yalaoui and Farouk Yalaoui

Session: Special Session on Scalable Evolutionary Logistics Planning

Chair: Thomas Weise Co-Chair: Jörg Lässig, Alexandre Devert and Yi Mei

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Canary II Level 4

SS-0371 An Agent-Based Approach for Transportation Scheduling in Developing Countries—Emanuel Federico Alsina

and Giacomo Cabri

SS-0550 Evolved Multi-Agent Systems and Thorough Evaluation are Necessary for Scalable Logistics—

Rinde R. S. van Lon and Tom Holvoet

SS-0621 Agent-Based Dispatching in Groupage Traffic—Max Gath, Stefan Edelkamp and Otthein Herzog

SS-0186 Optimization of Crew Scheduling with Uniform Work Distribution: A New Approach Using Genetic

Algorithm—R. Sasikumar, Harikrishna Pai and T. G. Pradeepmon

SS-0461 Line-Based Optimization of LTL-Shipments Using a Multi-Step Genetic Algorithm—Christian Tummel,

Tobias Pyttel, Philipp Wolters, Eckart Hauck and Sabina Jeschke

Session: Logistics II

Chair: M. Fatih Tasgetiren Co-Chair: Raymond Chiong

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Canary II Level 4

SS-0247 SDGP: A Developmental Approach for Traveling Salesman Problems—Jin Ouyang, Thomas Weise,

Alexandre Devert and Raymond Chiong

SS-0363 Discrete Paired-Bacteria Optimizer for Solving Traveling Salesman Problem—M. S. Li, T. Y. Ji and Q. H. Wu

SS-0714 Discrete PSO for the Uncapacitated Single Allocation Hub Location Problem—Alexander Bailey,

Beatrice Ombuki-Berman and Stephen Asobiela

SS-0256 A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows—

Korhan Karabulut and M. Fatih Tasgetiren

SS-0743 Solving the Biobjective Selective Pickup and Delivery Problem with Memetic Algorithm—Xin-Lan Liao and

Chuan-Kang Ting

Session: Production

Chair: Rui Zhang Co-Chair: Raymond Chiong

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Canary II Level 4

SS-0344 An Improved Genetic Algorithm with Local Search for Order Acceptance and Scheduling Problems—

Chen Cheng, Zhenyu Yang, Lining Xing and Yuejin Tan

SS-0880 A Genetic Algorithm for the Balancing and Sequencing Problem in the Mixed-Model U-Line—Yang Zhan and

Rui Zhang

SS-0233 Metaheuristic Algorithms for the Quadratic Assignment Problem—M. Fatih Tasgetiren, Quan-Ke Pan,

P. N. Suganthan and Ikbal Ece Dizbay

SS-0106 System for Product-Based Control of Production Processes—Martin Ostgathe and Michael F. Zaeh

IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive

Technologies (IEEE CIRAT 2013)

Millions of individuals experience impaired mobility usually accompanied by limited to no manual dexterity. The ”cost"

associated with these disabilities includes not only those incurred through medical and support services, but also less tangible

costs, such as those due lost wages and non-productivity. The goals of rehabilitation are to ameliorate life-limiting

disabilities and facilitate community re-entry. While restoration of function is the most positive outcome of rehabilitation,

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IEEE-CIRAT 2013

IEEE-SSCI 2013: Technical Program

compensatory strategies are also employed when natural function cannot be restored. A particularly promising approach is

the use of assistive technologies to extend an individual’s functionality and substitute for compromised functions.

CIRAT 2013 is the first edition of the biannual IEEE Symposium in Rehabilitation and Assistive Technologies. The symposium

highlights the latest results from world leading research labs and industry in the field of rehabilitation and assistive

technologies. It brings together researchers from various disciplines, including: rehabilitation robotics and telemanipulation;

improvement in quality of daily living; assistive recovery from stroke; enhanced mobility and function for individuals with

severe disabilities; tele-rehabilitation; wheelchair transportation; wheeled mobility; communication enhancement; hearing

enhancement; assistance to the blind, robotic prosthesis and orthotics; recreational technologies and exercise physiology

benefiting persons with disabilities; etc.

Chair Co-Chair

Gui N. DeSouza

University of Missouri, USA

Program Committee

Siavash Farzan, University of Missouri, USA

Elliott Forney, Colorado State University, USA

Marc Hansen, University of Missouri, USA

William Harwin, University of Reading, UK

Takuya Hashimoto, Tokyo University of Science, Japan

Kazuo Kiguchi, Kyushu University, Japan

Georgios Kouroupetroglou, University of Athens, Greece

Shuzhi Sam Ge

National University of Singapore, Singapore

Rui Loureiro, Middlesex University, UK

Guannan Lu, University of Missouri, USA

James Patton, University of Illinois at Chicago, USA

Luis Rivera, University of Missouri, USA

Andrea Scheidig, Ilmenau University of Technology, Germany

Patrick Wang, East China Normal University, China

Yijun Wang, University of California San Diego, USA

Session: Rehabilitation and Training

Chair: Shuzhi Sam Ge Co-Chair: Luis Rivera

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0175 A Novel Hand Strength Assessment Method Integrated into Haptic Knob for Stroke

Rehabilitation—Longjiang Zhou, Kai Keng Ang, Chuanchu Wang, Kok Soon Phua and Cuntai Guan

SS-0340 Classification of Silent Speech Using Adaptive Collection—Mariko Matsumoto and Junichi Hori

SS-0334 Real-Time Upper-Body Detection and Orientation Estimation Via Depth Cues for Assistive

Technology—Guang Yang, Mamoru Iwabuchi and Kenryu Nakamura

SS-0975 Handheld Device Based Personal Auditory Training System to Hearing Loss—Yeou-Jiunn Chen,

Chia-Jui Chang, Jiunn-Liang Wu, Yi-Hui Lin and Hui-Mei Yang

Session: Assistive Devices and Sensors

Chair: Ricardo Gudwin Co-Chair: Ang Kai Keng

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Nightingale Level 4

SS-0984 Control of a Wheelchair Using an Adaptive K-Means Clustering of Head Poses—Luis A. Rivera, G. N. DeSouza

and L. D. Franklin

SS-0649 A Biomimetic Similarity Index for Prosthetic Hands—Nayan M. Kakoty and Shyamanta M. Hazarika

SS-0312 Effects of Behavior Network as a Suggestion System to Assist BCI Users—Klaus Raizer, Eric Rohmer,

André L. O. Paraense and Ricardo R. Gudwin

SS-0248 Gesture Recognition System for Wheelchair Control Using a Depth Sensor—Noriyuki Kawarazaki

and Alejandro Israel Barragan Diaz

IEEE Symposium on Computational Intelligence in Scheduling (IEEE CISched 2013)

Welcome to the 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched’2013) at the 2013 IEEE Symposium

Series on Computational Intelligence (SSCI’2013) at Signapore! This is the 4th symposium on Computational Intelligence

in Scheduling at IEEE SSCI, after CISched’07 at Hawaii, CISched’09 at Nashville, CISched’11 at Paris.

CISched aims to bring together world leading researchers and practitioners in all aspects of Computational Intelligence

to a wide range of scheduling problems, which remain highly challenging in the current research. A significant amount of

research effort has been made to explore evolutionary computation, neural networks, swarm intelligence, fuzzy logic, and

their hybridizations, etc.

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IEEE-SSCI 2013: Technical Program

The programme of CISched’13 features 13 full papers representing the state-of-the-art research in scheduling. Problems

concerned include production scheduling as well as a range of complex real world scheduling problems.

We would like to express our gratitude to the Programme Committee members who have worked very hard to review

symposium submissions. Special thanks also to the Organising Committee which organized the series of symposium. We

are also grateful to all authors and delegates. On behalf of the CISched’2013 Programme Committee, we welcome you all to

Singapore. We hope you enjoy your stay here!

Co-Chair(s)

Rong Qu

University of Nottingham, UK

Program Committee

Ling Wang

Tsinghua University, China

Artigues Christian, LAAS-CNRS, France

Ayob Masri, University Kebangsaan Malaysia, Malaysia

Bai Ruibin, University of Nottingham, UK

Beullens Patrick, University of Portsmouth, UK

Bulut Onder, Yasar University, Turkey

Cheong Chun Yew, Institute of High Performance Computing,

ASTAR, Singapore

Chen Shih-Hsin, Nanhua University, Taiwan

Chiang Tsung-Che, National Taiwan Normal University, Taiwan

He Fang, University of Nottingham, UK

Landa-Silva Dario, University of Nottingham, UK

Lepping Joachim, INRIA Rhone-Alpes, France

Li Jingpeng, University of Nottingham, UK

Jing Liu, Xidian University, China

Liu Jiyin, Loughborough University, UK

Lu Zhipeng, Huazhong University of Science and Technology, China

Ma Guohua, Wentworth Institute of Technology, USA

Madureira Ana, Instituto Superior de Engenharia do Porto, Portugo

Maenhout Broos, Ghent University, Belgium

Manier Marie-Ange, University of Technology of Belfort Montbeliard,

France

Quanke Pan

Liaocheng University, China

Mendiburu Alexander, University of the Basque Country, Spain

Musliu Nysret, Vienna University of Technology, Austria

Norre Sylvie, LIMOS, France

Oguz Ceyda, Koc University, Turkey

Ozcan Ender, University of Nottingham, UK

Pan Quanke, Liaocheng University, China

Parkes Andrew, University of Nottingham, UK

Pesch Erwin, Universitat Siegen, Germany

Pillay Nelishia, University of KwaZulu-Natal, South Africa

Qu Rong, University of Nottingham, UK

Rudova Hana, Masaryk University, Czech Republic

Sevaux Marc, Université de Bretagne-Sud, France

Shen Yindong, Huazhong University of Science and Technology, China

Vanden Berghe Greet, KaHo St.-Lieven, Belgium

Wang Ling, Tsinghua University, China

Xiong Jian, National University of Defense Technology, China

Xu Ying, Hunan University, China

Yen Shi-Jim, National Dong Hwa Uni., Taiwan

Zinder Yakov, University of Technology, Sydney, Australia

Session: Schediling and Applictions I

Chair: Ling Wang Co-Chair: Rong Qu

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0034 An Estimation of Distribution Algorithm for the Multi-Objective Flexible Job-Shop Scheduling

Problem—Shengyao Wang, Ling Wang, Min Liu and Ye Xu

SS-0285 An Enhanced Migrating Birds Optimization Algorithm for No-Wait Flow Shop Scheduling Problem—

K. Z. Gao, P. N. Suganthan and T. J. Chua

SS-0402 Multiobjective Genetic Algorithm for Demand Side Management of Smart Grid—Xiao-Min Hu, Zhi-Hui Zhan,

Ying Lin, Yue-Jiao Gong, Wei-Jie Yu, Yao-Xiu Hu and Jun Zhang

SS-0666 A DE-Based Algorithm for Reentrant Permutation Flow-Shop Scheduling with Different Job Reentrant

Times—Bin Qian, Jing Wan, Bo Liu, Rong Hu and Guo-Lin Che

Session: Schediling and Applictions II

Chair: Rolf Dornberger Co-Chair: Quanke Pan

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Canary II Level 4

SS-0173 An Approach of Solving Itinerary Construction Problems Using Real Life Data—Marvin Kückens,

Rolf Dornberger and Thomas Hanne

SS-0263 Coordination Mechanism of Maintenance Scheduling Using Modified PSO in a Restructured Power

Market—Kaliyamoorthy Suresh and Narayanan Kumarappan

SS-0472 Algorithm and Knowledge Engineering for the TSPTW Problem—Stefan Edelkamp, Max Gath, Tristan Cazenave

and Fabien Teytaud

SS-0575 A Hybrid Metaheuristic Method for Dispatching Automated Guided Vehicles in Container Terminals—

Li Qin Song and Shell Ying Huang

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IEEE-CISCHED 2013

IEEE-SSCI 2013: Technical Program

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0375 Hybrid Harmony Search for Nurse Rostering Problems—Mohammed A. Awadallah, Ahamad Tajudin Khader,

Mohammed Azmi Al-Betar and Asaju La’aro Bolaji

SS-0903 Lagrangian Heuristic for Scheduling a Steelmaking-Continuous Casting Process—Kun Mao, Quanke Pan and

M. Fatih Tasgetiren

SS-0122 A Ripple-Spreading Algorithm to Calculate the k Best Solutions to the Project Time Management

Problem—Xiao-Bing Hu, Ming Wang, Xiao-Bing Hu, Mark S. Leeson, Qiong Sun and Ezequiel Di Paolo

IEEE Symposium on Computational Intelligence for Security and Defense

Applications (IEEE CISDA 2013)

Given the current global security environment, there has been increased interest within the security and defense communities

in novel techniques for solving challenging problems. The genesis of this interest lies in the fact that repeated attempts

of using traditional techniques have left many important problems unsolved, and in some cases, not addressed. New problems

have emerged within the broad areas of security and defense that are difficult to tackle with conventional methods,

thus requiring new techniques for detecting and adapting to emerging threats. The purpose of the symposium is to present

current and ongoing efforts in computational intelligence (e.g., neural networks, fuzzy systems, evolutionary computation,

swarm intelligence, and other emerging learning or optimization techniques) as applied to security and defense problems.

The final technical program consists of 17 papers selected from 25 submissions. We hope you will find the symposium

very interesting, and you will enjoy haring time with your colleagues and friends during symposium to exchange ideas.

Chair Co-Chair(s)

Akira Namatame

National Defense, Academy, Japan

Program Committee

Hussein Abbass, University of New South Wales, Australia

Lam Bui, Le Quy Don University, Viet Nam

Rodrigo Calvo, University of Sao Paulo, Brazil

Ray-I Chang, National Taiwan University, Taiwan

Sung-Bae Cho, Yonsei University, Republic of Korea

Juan Manuel Corchado, University of Salamanca, Spain

James Dankert, BAE Systems, United States

John Gallagher, Wright State University, United States

Robert Karlsen, US Army – TARDEC, United States

Paul E. Keller, Pacific Northwest National Laboratory, United States

Gary Lamont, Air Force Institute of Technology, United States

Zne-Jung Lee, Huafan University, Taiwan

Christopher Lowrie, Physicist, United States

Simon Miller, University of Nottingham, United Kingdom

Frank Moore, University of Alaska Anchorage, United States

Rami Abielmona

Larus Technologies, Corporation, Canada

Nur Zincir-Heywood Dalhousie

University, Canada

Andrew Neel, The University of Memphis, United States

Gustavo Pessin, University of Sao Paulo, Brazil

Kiruthika Ramanathan, Data Storage Institute, Singapore

Arthur Ramer, University of New South Wales, Australia

Garrett Rose, Air Force Research Laboratory, United States

Fabio Ruini, Plymouth University, United Kingdom

Hung-H. Tsai, National Formosa University, Taiwan

Antony Waldock, BAE Systems, United Kingdom

Bryant Wysocki, AFRL, United States

Matthias Reuter, TU Clausthal, Germany

Axel Bender, Defence Science and Technology Organisation, Australia

Bob McKay, Seoul National University, Republic of Korea

Michael Grimaila, Air Force Institute of Technology, United States

Sankardas Roy, Kansas State University, United States

Sujit P. B, University of Porto, Portugal

Session: Developing Tactics and Red Teaming

Chair: Akira Namatame Co-Chair: Cheong Siew Ann

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0137 Evolving Team Tactics Using Potential Fields—Michael Oberberger, Sushil J. Louis and Monica Nicolescu

SS-0317 Positioning of Military Combat Units Through Weight-Based Terrain Analysis Using NASA World

Wind—Sharvari Shridharan, Raj Kumar and S. K. Pundir

SS-0953 Comparing Heuristic Search Methods for Finding Effective Real-Time Strategy Game Plans—

Christopher Ballinger and Sushil Louis

SS-0415 Testing a Distributed Denial of Service Defence Mechanism Using Red Teaming—Samaneh Rastegari,

Philip Hingston, Chiou-Peng Lam and Murray Brand

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IEEE-SSCI 2013: Technical Program

Session: UAV and Behavior Development

Chair: Cheong Siew Ann Co-Chair: Akira Namatame

Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0617 Multiple UAV Area Decomposition and Coverage—J. F. Araújo, P. B. Sujit and J. B. Sousa

SS-0800 Cooperative Path Planning for UAVs with UAV Loss Considerations—Mingsheng Gao, Jun Jiang,

NG Kien Ming, Teo Kwong Meng and Kim-Leng Poh

SS-0809 Cooperative Communication of UAV to Perform Multi-Task Using Nature Inspired Techniques—

J. Senthilnath, S. N. Omkar, V. Mani and Anurag R. Katti

SS-0315 Neural Adaptive Flight Controller for Ducted-Fan UAV Performing Nonlinear Maneuver—R. Aruneshwaran,

S. Suresh, Wang Jianliang and T. K. Venugopalan

Session: Obstacle Avoidance and Intelligent Control

Chair: Michael Oberberger Co-Chair: Mingsheng Gao

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Kingfisher Level 4

SS-0476 A Novel Obstacle Avoidance Control Algorithm in a Dynamic Environment—Galib Rahaman Mallik

and Arpita Sinha

SS-0599 Design of a Nonlinear Dynamic Inversion Controller for Trajectory Following and Maneuvering for Fixed

Wing Aircraft—Abhay A. Pashilkar, Shaik Ismail, Ramakalyan Ayyagari and Narasimhan Sundararajan

Session: Learning and Control

Chair: Ryusuke Hohzaki Co-Chair: Michael Oberberger

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0341 Investigating Application Behavior in Network Traffic Traces—Vahid Aghaei Foroushani

and A. Nur Zincir-Heywood

SS-0071 BSB Training Scheme Implementation on Memristor-Based Circuit—Miao Hu, Hai Li, Yiran Chen, Qing Wu and

Garrett S. Rose

SS-0471 A Comparison of Artificial Neural Network Performance: The Case of Neutron/Gamma Pulse Shape

Discrimination—Tatiana Tambouratzis, Dina Chernikova and Imre Pázsit

SS-0563 Improved Autolanding Controller for Aircraft Encountering Unknown Actuator Failures—Shaik Ismail,

Abhay A. Pashilkar, Ramakalyan Ayyagari and N. Sundararajan

Keynote: Intelligent Systems for Flight Control

By Prof. Narasimhan Sundararajan Chair: Sundaram Suresh

Date/Time: 11.30 – 12.30, Wed. 17 April 2013 Venue: Lyrebird Level 3

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0015 A Patrol Problem in a Building by Search Theory—Ryusuke Hohzaki, Syuhei Morita and Yoshiharu Terashima

IEEE Symposium on Computational Intelligence in Vehicles and Transportation

Systems (IEEE CIVTS 2013)

The goal of this symposium is to provide a forum for participants from industry, academic, and non-profit organizations to

exchange innovative ideas on intelligent vehicles, their systems, and related manufacturing processes. We welcome papers

from all areas of computational intelligence demonstrating applications of theoretical advances to modern and future vehicles

and vehicular systems (engine, transmissions, actuators, sensors, networks, communications, interfaces, etc.) and related

manufacturing technologies. Although the focus of the symposium is on the application aspects of CI, papers describing

simulation-only results are also solicited.

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IEEE-CIVTS 2013

Co-Chair(s)

Dipti Srinivasan

National University of Singapore

Program Committee

Plamen Angelov, Lancaster University, UK

Alberto Broggi, University of Parma, Italy

George Bebis, University of Nevada, USA

Luis M. Bergasa, University of Alcala, Spain

Oleg Gusikhin, Ford Research, USA

Ilya Kolmanovsky, University of Michigan, USA

John Krumm, Microsoft Research, USA

Rudolf Kruse, University of Magdeburg, Germany

T.T. Lee, National University of Technology, Taiwan

Raj Madhavan, NIST, USA

Seichi Mita, Toyota Tech Institute, Japan

Yi L. Murphey, University of Michigan-Dearborn, USA

IEEE-SSCI 2013: Technical Program

Justin Dauwels

Nanyang Technological University, Singapore

Hiroshi Nakajima, Omron, Japan

Yoshiki Ninomiya, Toyota Central R & D Labs, Japan

Urbano Nunes, University of Coimbra, Portugal

Krishna Pattipati, University of Connecticut, USA

Luigi del Re, JKU, Austria

Thomas Runkler, Siemens Research, Germany

Nestor Rychtycki, Ford Research, USA

Kazuya Takeda, Nagoya University, Japan

Mohan Trivedi, UCSD, USA

Hans J Wuensche, University of Bundeswehr, Germany

Yilu Zhang, GM, USA

Keynote: Autonomy and the Future of Urban Mobility

By Dr. Emilio Frazzoli Chair: Justin Dauwels

Date/Time: 9.30 – 10.30, Wed. 17 April 2013 Venue: Galleria Ballroom Level 3

Session: Traffic Optimization and Control-1

Chair: Dipti Srinivasan Co-Chair: Justin Dauwels

Date/Time: 10.50 – 12.20, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0135 A Real-Time Visual-Based Front-Mounted Vehicle Collision Warning System—Chiung-Yao Fang,

Jui-Hung Liang, Chiao-Shan Lo and Sei-Wang Chen

SS-0668 Evolving Intelligent Vehicle Control Using Multi-Objective NEAT—W. H. van Willigen, Evert Haasdijk

and L. J. H. M. Kester

SS-0884 An Approximate Bus Route Planning Algorithm—Ow Yi Xian, Mandar Chitre and Daniela Rus

SS-0905 Single Intersection Signal Control Based on Type-2 Fuzzy Logic—Yunrui Bi, Dipti Srinivasan, Xiaobo Lu and

Zhe Sun

Session: Traffic Optimization and Control-2

Chair: Justin Dauwels Co-Chair: Dipti Srinivasan

Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0930 Freeway Ramp Metering by Macroscopic Traffic Scheduling with Particle Swarm Optimization—Xinjie Zhao,

Jianxin Xu and Dipti Srinivasan

SS-0952 Mining Traffic Accident Features by Evolutionary Fuzzy Rules—Pavel Krömer, Tibebe Beshah, Dejene Ejigu,

Václav Snášel, Jan Platoš and Ajith Abraham

SS-0966 Data Compression Techniques for Urban Traffic Data—Muhammad Tayyab Asif, Srinivasan Kannan,

Justin Dauwels and Patrick Jaillet

SS-0885 The Probe Allocation Problem—Ow Yi Xian, Mandar Chitre and Daniela Rus

SS-1030 Real-Time Urban Traffic Information Extraction from GPS Tracking of a Bus Fleet—Evangelos Denaxas,

Savvas Mpollas, Dimitrios Vitsios, Christoforos Zolotas, Dimitris G. Bleris, Georgios M. Spanos

and Nikos P. Pitsianis

Session: Air Traffic Prediction and Control

Chair: Justin Dauwels Co-Chair: Dipti Srinivasan

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Kingfisher Level 4

SS-0996 Control on Air Fuel Ratio of SI Engines Using Neural Network-Based Feedforward Method—Yujia Zhai and

Dingli Yu

SS-0538 An Evolutionary Goal-Programming Approach Towards Scenario Design for Air-Traffic Human-Performance

Experiments—Rubai Amin, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby and Hussein A. Abbass

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IEEE-SSCI 2013: Technical Program

SS-0682 Real Time Prediction of Worst Case Air Traffic Sector Collision Risk Using Evolutionary

Optimization—Sameer Alam, Murad Hossain, Chris Lokan, Steve Barry, Geoff Aldis, Robert Butcher

and Hussein Abbass

SS-0783 Linguistic Model for Engine Power Loss—Janos Grantner, Bradley Bazuin, Jumana Al-shawawreh, Liang Dong,

Matthew P. Castanier and Shabbir Hussain

SS-0314 Computationally Inexpensive Labeling of Appearance Based Navigable Terrain for Autonomous

Rovers—Prabhakar Mishra and Anirudh Viswanathan

IEEE Symposium on Evolving and Adaptive Systems

(IEEE EAIS 2013)

The truly intelligent systems should be dynamically evolving and be able to adapt and learn autonomously. The concept

of evolving intelligent systems was established recently as a synergy between conventional systems, neural networks and

fuzzy systems as structures for information representation and real time methods for machine learning. This emerging area

targets non-stationary processes by developing novel on-line learning methods and computationally efficient algorithms for

real- time applications.

One of the important research challenges today is to develop methodologies, concepts, algorithms and techniques

towards the design of intelligent systems with a higher level of flexibility and autonomy, so that the systems can evolve

their structure and knowledge of the environment and ultimately — autonomously learn and evolve their intelligence. That

is, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve.

Wireless sensor networks, assisted ambient intelligence, embedded soft computing diagnostics and prognostics algorithms,

intelligent agents, smart evolving sensors; autonomous robotic systems etc. are some of the natural implementation

areas of evolving and adaptive intelligent systems. EAIS’13 continues the tradition set by the previous forums (EFS’06,

GEFS’08, ESDIS’09, EIS’10, EAIS-2011, EAIS-2012) and is supported and organized by the Adaptive and Evolving Fuzzy

Systems (AEFS) Task Force, FSTC, CIS, IEEE. The next year Symposium will be held 2 – 4 June 2014 in Linz, Austria. Welcome

to Singapore! Wishing you a productive and joyful stay.Looking forward to the next meeting in Linz next year.

Co-Chair(s)

Plamen Angelov

Lancaster University, UK

Program Committee

Jose Rubio Avila, UA-IPN, Mexico

Rashmi Dutta Baruah, IIT , India

Nik Kasabov

AUT, New Zealand

Abdelhamid Bouchachia, University of Bournemouth, UK

Richard Duro, University of La Coruna, Spain

Ana Belen Cara, University of Granada, Spain

Damien Coyle, Ulster University, UK

Mario Gongora, De Monfort University, Leicester, UK

Fernando Gomide, University of Campinas, Brazil

Jose Antonio Iglesias, University Carlos III, Spain

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Andre Lemos, University of Campinas, Brazil

Gang Leng, Ulster University, UK

Dimitar Filev

Ford, USA

Edwin Lughofer, University of Linz, Austria

Moamar Sayed Mouchaweh, University of Reims, France

Witold Pedrycz, University of Alberta, Canada

Fernando Pouzols, Aalto University, Finland

Ignacio Rojas, University of Granada, Spain

Dick Scott, University of Alberta, Canada

Joao Sousa, Technical University of Lisbon, Portugal

Igor Skrjanc, University of Ljubljana, Slovenia

Gancho Vachkov, South Pacific University, Fiji

Di Wang, Khalifa University, UAE

Ronald Yager, Iona College, NY, USA

Xiaojun Zeng, Manchester University, UK

Session: Methodology of EAIS

Chair: Igor Skrjanc Co-Chair: Christophe Marsala

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0986 Robust Evolving Cloud-Based Controller for a Hydraulic Plant—Plamen Angelov, Igor Škrjanc and Sašo Blažič

SS-0307 Resolving Global and Local Drifts in Data Stream Regression Using Evolving Rule-Based Models—

Ammar Shaker and Edwin Lughofer

SS-0970 Fuzzy Decision Trees for Dynamic Data—Christophe Marsala

SS-0989 Dynamic and Evolving Fuzzy Concept Lattices—T. P. Martin

SS-0719 Adapting Meeting Tools to Agent Decision—João Barreto, Isabel Praça, Tiago Pinto, Tiago M. Sousa and Zita Vale

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IEEE-EAIS 2013

IEEE-SSCI 2013: Technical Program

Session: Evolving and Intelligent Classifiers

Chair: Christophe Marsala Co-Chair: Trevor Martin

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0171 eVQ-AM: An Extended Dynamic Version of Evolving Vector Quantization—Edwin Lughofer

SS-0318 A Meta-Cognitive Interval Type-2 Fuzzy Inference System Classifier and Its Projection Based Learning

Algorithm—K. Subramanian, R. Savitha and S. Suresh

SS-0644 Ensemble Method Based on Individual Evolving Classifiers—José Antonio Iglesias, Agapito Ledezma

and Araceli Sanchis

SS-0455 Learning Imbalanced Classes in the Presence of Concept Growth—Wing Yee Sit and K. Z. Mao

SS-1025 Predicted Probability Enhancement for Multi-Label Text Classification Using Class Label Pair

Association—Mohammad Salim Ahmed, Sourabh Jain, Fahad Bin Muhaya and Latifur Khan

Keynote: Evolving fuzzy systems: A Granular Computing Design Framework

By Prof. Witold Pedrycz Chair: Bernadette Bouchon-Meunier

Date/Time: 13.30 – 14.30, Thu. 18 April 2013 Venue: Galleria Ballroom Level 3

Session: Applications of EAIS

Chair: Jose Iglesias Co-Chair: Denis Kolev

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Pelican Level 4

SS-0631 Evolving Systems for Computer User Behavior Classification—José Antonio Iglesias, Agapito Ledezma and

Araceli Sanchis

SS-0670 Controlling Evaluation Duration in On-Line, On-Board Evolutionary Robotics—Atta-Ul-Qayyum Arif,

Dimitar G. Nedev and Evert Haasdijk

SS-0533 ARFA: Automated Real-Time Flight Data Analysis Using Evolving Clustering, Classifiers and Recursive

Density Estimation—Denis Kolev, Plamen Angelov, Garegin Markarian, Mikhail Suvorov and Sergey Lysanov

SS-0097 A Fuzzy-Genetic Tactical Resource Planner for Workforce Allocation—Ahmed Mohamed, Hani Hagras,

Sid Shakya and Gilbert Owusu

SS-0288 Online Identification of Complex Multi-Input-Multi-Output System Based on Generic Evolving Neuro-Fuzzy

Inference System—Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt and Edwin Lughofer

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0517 An Agent Based Model of Stress in the Workplace—Daniel Ashlock and Matthew Page

SS-0758 Network Robustness and Topological Characteristics in Scale-Free Networks—Dharshana Kasthurirathna,

Mahendra Piraveenan and Gnanakumar Thedchanamoorthy

SS-0477 Evolution of a Digital Organism Playing Go—Christian Alt and Helmut A. Mayer

SS-0395 An Ensemble Based Genetic Programming System to Predict English Football Premier League

Games—Tianxiang Cui, Jingpeng Li, John R. Woodward and Andrew J. Parkes

SS-1026 The IEEE Computer Society Smart Grid Vision Project Opens Opportunites for Computational

Intelligence—David Cartes, Joe H. Chow, Dan McCaugherty, Steve Widergren and G. Kumar Venayagamoorthy

IEEE Symposium on Foundations of Computational Intelligence (IEEE FOCI 2013)

Singapore hosts the forth IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013). This international event

brings together at one location several symposia running concurrently, each highlighting various aspects of computational

intelligence, and will attract top researchers, practitioners, and students from around the world to discuss the latest advances

in the field of computational intelligence.

Computational intelligence techniques have proven useful after numerous applications in real world problems. However,

there is much work to be done in order to fully understand the theoretical foundations of such techniques. IEEE FOCI’13,

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IEEE-SSCI 2013: Technical Program

provides an ideal forum for those who are interested in the fundamental issues of computational intelligence to exchange

their ideas and present their latest findings.

IEEE FOCI 2013 will focus on fundamental theoretical and practical foundations of computational intelligence, including

but not limited to neural networks, fuzzy logic, evolutionary computation, and other machine learning methods. The symposium

will put equal emphasis on theoretical and practical work as long as it addresses the foundations of computational

intelligence.

Symposium Co-Chair(s)

Manuel Ojeda-Aciego

University of Malaga, Spain

Program Committee

Ajith Abraham, USA

Michael Affenzeller, Austria

John Aleshunas, USA

Jhon E. Amaya, Venezuela

Gabriela Andrejková, Slovakia

Martin Anthony, UK

B.V. Babu, India

Valentina Balas, Romania

Fernando Bobillo, Spain

Alberto Bugaírn, Spain

Humberto Bustince, Spain

Juan Luis Castro Peña, Spain

Uday Chakraborty, USA

Tianshi Chen, China

Ying-Ping Chen, Taiwan

Sung-Bae Cho, Korea

Agata Ciabattoni, Austria

Pablo Cordero, Spain

Bhaskar DasGupta, USA

Bernard De Baets, Belgium

Enrique Domínguez Merino, Spain

Didier Dubois, France

Patrik Eklund, Sweden

David Elizondo, UK

Antonio J. Fernández Leiva, Spain

Javier Fernandez, Spain

Pablo M. Gleiser, Argentina

Lluís Godo, Spain

Fernando Gomide, Brazil

Jun He, UK

Francisco Herrera, Spain

César Hervás, Spain

Kaoru Hirota, Japan

Samuelson W. Hong, China

Tsan-sheng Hsu, Taiwan

José Jerez Aragonés, Spain

Janusz Kacprzyk, Poland

Ryotaro Kamimura, Japan

Sami Khuri, USA

Stanislav Krajci, Slovakia

Vladik Kreinovich, USA

Aristidis Likas, Greece

Paulo Lisboa, UK

M. Daniela López de Luise, Argentina

Ezequiel L´ópez Rubio, Spain

José A. Lozano, Spain

Manuel Lozano, Spain

Francesco Masulli, Italy

Carlos Cotta

University of Malaga, Spain

Leonardo Franco

University of Malaga, Spain

Session:

Chair: Manuel Ojeda-Aciego Co-Chair: Pablo Cordero

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Canary I Level 4

Ángel Mora, Spain

Jesús Medina, Spain

Luis Miramontes Hercog, Mexico

Marco Muselli, Italy

Juan Pablo Neirotti, UK

Vilém Novák, Czech Republic

Pietro Oliveto, UK

J. M. Ortiz de Lazcano Lobato, Spain

Witold Pedrycz, Canada

Irina Perfilieva, Czech Rep

Henri Prade, France

Ana Pradera, Spain

Helena Ramalhinho, Spain

João M. Sousa, Portugal

Peter Sussner, Brazil

Vicenç Torra, Spain

Enric Trillas, Spain

José Luis Verdegay, Spain

Francisco Veredas, Spain

Peter Vojtás, Czech Rep.

Dongming Xu, USA

Ronald R. Yager, USA

Slawomir Zadrozny, Poland

Baihai Zhang, China

SS-0393 Relational Algebra for Multi-Ranked Similarity-Based Databases—Radim Belohlavek and Vilem Vychodil

SS-0915 Computing Non-Redundant Sets of Functional Dependencies via Simplification—Pablo Cordero,

Manuel Enciso, Ángel Mora and José Manuel Rodríguez-Jiménez

SS-0268 Foundations of Relational Similarity-Based Query Language RESIQL—Petr Krajca and Vilem Vychodil

SS-0863 The X-mu Approach: Fuzzy Quantities, Fuzzy Arithmetic and Fuzzy Association Rules—T. P. Martin

and B. Azvine

Session:

Chair: Pablo Cordero Co-Chair: Manuel Ojeda-Aciego

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Canary I Level 4

SS-0767 On the Measure of Incoherent Information in Extended Multi-Adjoint Logic Programs—Nicolás Madrid and

Manuel Ojeda-Aciego

SS-0456 Radial Basis Functions for Multidimensional Learning with an Application to Nondestructive Sizing of

Defects—S. Shuaib Ahmed, B. Purna Chandra Rao and T. Jayakumar

75

IEEE-FOCI 2013


IEEE-FOCI 2013

IEEE-SSCI 2013: Technical Program

SS-0150 Granular Representation Schemes of Time Series: A Study in an Optimal Allocation of Information

Granularity—Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash and Ali Morfeq

Session:

Chair: Carlos Cotta Co-Chair: Leonardo Franco

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0029 A Ripple-Spreading Algorithm for Route Optimization—Xiao-Bing Hu, Ming Wang, Mark S. Leeson, Qiong Sun

and Ezequiel Di Paolo

SS-0466 The Impact of Varying Resources Available to Iterated Prisoner’s Dilemma Agents—Daniel Ashlock and

Eun-Youn Kim

SS-0702 Evaluation Scheduling in Noisy Environments—James Glenn

SS-0723 Effect of Model Complexity for Estimation of Distribution Algorithm in NK Landscapes—Rung-Tzuo Liaw

and Chuan-Kang Ting

Session:

Chair: Leonardo Franco Co-Chair: Carlos Cotta

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0052 Quantifying Accuracy of Learning via Sample Width—Martin Anthony and Joel Ratsaby

SS-0421 Incorporating User Constraints into Topic-Oriented Self-Organizing Maps—Hsin-Chang Yang,

Chung-Hong Lee and Chun-Yen Wu

SS-0734 Analysis of SpikeProp Convergence with Alternative Spike Response Functions—Vaenthan Thiruvarudchelvan,

James W. Crane and Terry Bossomaier

SS-0969 Linguistic Summaries for Periodicity Detection Based on Mathematical Morphology—Gilles Moyse,

Marie-Jeanne Lesot and Bernadette Bouchon-Meunier

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0609 A Review of Computational Intelligence in RTS Games—Raúl Lara-Cabrera, Carlos Cotta

and Antonio J. Fernández-Leiva

SS-0647 Influence of Selective Pressure on Quality of Solutions and Speed of Evolutionary MasterMind—J. J. Merelo,

A. M. Mora, Nuria Rico and C. Cotta

SS-0814 Normalizing Errors in a Unified Framework Between the Weighted Average and the OWA Operator—

José M. Merigó Montserrat Guillén and Jaume Belles-Sampera

IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems

(IEEE GEFS 2013)

After almost twenty years of efforts towards augmenting fuzzy systems with learning and adaptation capabilities, one of the

most prominent approaches to do so has resulted in the emergence of genetic fuzzy systems. These kinds of hybrid systems

meld the approximate reasoning method of fuzzy systems with the adaptation capabilities of evolutionary algorithms. On

the one hand, fuzzy systems have demonstrated the ability to formalize in a computationally efficient manner the approximate

reasoning typical of humans. On the other hand, genetic (and in general evolution-inspired) algorithms constitute a

robust technique in complex optimization, identification, learning, and adaptation problems. In this way, their confluence

leads to increased capabilities for the design and optimization of fuzzy systems.

GEFS 2013 becomes the sixth workshop in a series of successful symposiums dedicated to serving the needs of academics

and practitioners in computational intelligence following the previous workshops in Granada (Spain), Ambleside

(UK), Witten-Bommerholz (Germany) and Mieres (Spain). The objective of GEFS 2013 is to facilitate the promotion of novel

problems, research, results, and future directions in the growing area of genetic and evolutionary fuzzy systems. GEFS 2013

provides an opportunity to meet researchers working on the topic, make new contacts and exchange ideas.

The GEFS series of workshops are an important part of the activities of the Evolutionary Fuzzy Systems Task Force of

the FSTC at IEEE CIS, which sponsors this 6th edition as a part of the Symposium Series on Computational Intelligence

sponsored by the IEEE Computational Intelligence Society (IEEE SSCI 2013).

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Co-Chair(s)

Rafael Alcalá

University of Granada, Spain

Publicity Chair(s)

Jesús Alcalá, University of Granada, Spain

María José Gacto, University of Jaén, Spain

Program Committee

Jesús Alcalá, University of Granada, Spain

Adel M. Alimi, University of Sfax, Tunisia

José María Alonso, University of Alcalá, Spain

Krisztian Balazs, Budapest University of Technology and Economics,

Hungary

Ulrich Bodenhofer, Johannes Kepler University, Linz, Austria

Alberto Bugarín, University of Santiago de Compostela, Spain

Brian Carse, University of the West of England, Bristol, UK

Jorge Casillas, University of Granada, Spain

Oscar Castillo, Tijuana Institute of Technology, Mexico

Francisco Chávez de la O., University of Extremadura, Spain

Chun-Hao Chen, Tamkang University, Taiwan

France Cheong, RMIT University Melbourne, Australia

Marco Cococcioni, University of Pisa, Italy

Oscar Cordón, University of Granada, Spain

Keeley Crockett, Manchester Metropolitan University, UK

Pietro Ducange, University of Pisa, Italy

Paulo Fazendeiro, University of Beira Interior, Portugal

Alberto Fernández, University of Jaén, Spain

Francisco Fernandez de Vega, University of Extremadura, Spain

Shinji Fukuda, Kyushu University, Japan

María José Gacto, University of Jaén, Spain

Fernando Gomide, University of Campinas, Brazil

Antonio González, University of Granada, Spain

Pedro González, University of Jaén, Spain

Francisco Herrera, University of Granada, Spain

Tzung-Pei Hong, National University of Kaohsiung, Taiwan

IEEE-SSCI 2013: Technical Program

Yusuke Nojima

Osaka Prefecture University, Japan

Pietro Ducange, University of Pisa, Italy

Hisao Ishibuchi, Osaka Prefecture University, Japan

María José, del Jesus, University of Jaén, Spain

Fernando Jiménez Barrionuevo, University of Murcia, Spain

Yaochu Jin, Honda Research Institute Europe, Germany

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Frank Klawonn, Ostfalia University of Applied Sciences, Germany

Naoyuki Kubota, Tokyo Metropolitan University, Japan

Luis Magdalena, European Center for Soft Computing, Spain

Francesco Marcelloni, University of Pisa, Italy

Mahdi Mahfouf, The University of Sheffield, UK

Francisco Alfredo Márquez, University of Huelva, Spain

Trevor Martin, University of Bristol, UK

Manuel Mucientes, University of Santiago de Compostela, Spain

Witold Pedrycz, University of Alberta, Canada

Antonio Peregrín, University of Huelva, Spain

Raúl Pérez, University of Granada, Spain

Myriam Regattieri Delgado, Federal University of Technology of

Paraná, Brazil

Luciano Sánchez, University of Oviedo, Spain

José Antonio Sanz, University of Navarra, Spain

Gregorio Sáinz, University of Valladolid, Spain

Dimitris G. Stavrakoudis, Aristotle University of Thessaloniki, Greece

John Theocharis, Aristotle University of Thessaloniki, Greece

Bogdan Trawinski, Wroclaw University of Technology, Poland

Edward Tunstel, John Hopkins University, USA

Pedro Villar, University of Granada, Spain

Session: Evolutionary Fuzzy Systems I

Chair: Rafael Alcalá Co-Chair: Yusuke Nojima

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0349 Participatory Genetic Learning in Fuzzy System Modeling—Yi Ling Liu

and Fernando Gomide

SS-0918 An Empirical Study About the Behavior of a Genetic Learning Algorithm on Searching Spaces Pruned by a

Completeness Condition—David García, Antonio González and Raúl Pérez

SS-0576 A Two-Stage Multi-Objective Genetic-Fuzzy Mining Algorithm—Chun-Hao Chen, Ji-Syuan He

and Tzung-Pei Hong

SS-0828 Effects of Data Prevalence on Species Distribution Modelling Using A Genetic Takagi-Sugeno Fuzzy

System—Shinji Fukuda

Session: Evolutionary Fuzzy Systems II

Chair: Yusuke Nojima Co-Chair: Rafael Alcalá

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0498 Boosting Fuzzy Rules with Low Quality Data in Multi-Class Problems: Open Problems and Challenges—Ana

Maria Palacios, Luciano Sánchez and Inés Couso

SS-1003 Estimation of Human Transport Modes by Fuzzy Spiking Neural Network and Evolution Strategy in

Informationally Structured Space—Dalai Tang, Janos Botzheim, Naoyuki Kubota and Toru Yamaguchi

77

IEEE-GEFS 2013


IEEE-GEFS 2013

IEEE-SSCI 2013: Technical Program

SS-0383 Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning Based on Heuristic

Measures Over Multiple Granularities—Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi and

Francisco Herrera

SS-0277 Local Search and Restart Strategies for Satisfiability Solving in Fuzzy Logics—Tim Brys, Madalina M. Drugan,

Peter A. N. Bosmany, Martine De Cock and Ann Nowé

SS-0974 Multiobjective Genetic Fuzzy Rule Selection with Fuzzy Relational Rules—Yusuke Nojima and Hisao Ishibuchi

IEEE Workshop on Hybrid Intelligent Models and Applications (IEEE HIMA 2013)

The International workshop will consist of papers describing research work that integrate different Computational Intelligence

(CI) methodologies for the development of hybrid intelligent systems. CI methodologies at the moment include (at

least) Neural Networks, Fuzzy Logic, Genetic Algorithms, Intelligent Agents, and Chaos Theory. The use of intelligent techniques,

like neural networks, fuzzy logic and genetic algorithms, for real-world problems is now widely accepted. However,

the performance of any of these techniques can be improved, in many situations, by using them in conjunction with other

techniques. For example, genetic algorithms can be used to optimize the design of a neural network for time series prediction,

or fuzzy logic can be used to combine the information from expert neural modules, just to mention two cases. Also,

mathematical methods, like the ones from Chaos and Fractal Theory, can be used in conjunction with intelligent techniques

to improve the performance of hybrid systems for real-world applications. The main problem in this area is how to make a

prudent combination of CI methodologies to build hybrid intelligent models that can outperform the results produced by

the individual intelligent methods. The international workshop will consist of papers addressing these hybrid approaches

and similar ones, either theoretically or for real-world applications. The workshop is intended primarily for researchers and

graduate students working on these research areas.

Co-Chair(s)

Patricia Melin

Tijuana Institute of Technology, Mexico

Program Committee

Oscar Castillo, Tijuana Institute of Technology, Mexico

Roseli A. Francelin Romero, University of Sao Paulo, Brazil

Eduardo Gomez-Ramirez, La Salle University, Mexico

Kaoru Hirota, Tokyo Institute of Technology, Japan

Janusz Kacprzyck, Polish Academy of Sciences, Poland

Nadia Nedjah, State University of Rio de Janeiro, Brazil

Witold Pedrycz, University of Alberta, Canada

Sanghamitra Bandyopadhyay

ISI-Kolkatta, India

Ronald R. Yager, Iona College, USA

Vladik Kreinovich, University of Texas, El Paso, USA

Jacek Zurada, University of Louisville, USA

Bertil Schmidt, Germany

Lakhmi Jain, Australia

Pabitra Mitra, India

Sushmita Mitra, India

Session: Hybrid Intelligent Systems in Modeling and Clustering

Chair: Patricia Melin Co-Chair: Sanghamitra Bandyopadhyay

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0845 Formation of General Type-2 Gaussian Membership Functions Based on the Information Granule Numerical

Evidence—Mauricio A. Sanchez, Juan R. Castro and Oscar Castillo

SS-0635 Hybrid Evolutionary Multiobjective Fuzzy C-Medoids Clustering of Categorical Data—

Anirban Mukhopadhyay, Ujjwal Maulik and Sanghamitra Bandyopadhyay

SS-0962 Interval Type-2 Fuzzy Clustering for Membership Function Generation—E. Rubio and O. Castillo

SS-0981 Automatic Implementation of Totalistic Cellular Automata Through Polynomial Cellular Neural

Networks—Antonio Arista-Jalife, Eduardo Gomez-Ramirez and Giovanni E. Pazienza

SS-0692 Intelligent Counseling Agent and Its Evaluation—Tetsuo Shinozaki, Yukiko Yamamoto, Kohei Takada

and Setsuo Tsuruta

Session: Hybrid Intelligent Systems in Optimization

Chair: Sanghamitra Bandyopadhyay Co-Chair: Patricia Melin

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Nightingale Level 4

SS-0900 Ant Colony Optimization for Membership Function Design for a Water Tank Fuzzy Logic Controller—

Evelia Lizárraga Olivas, Oscar Castillo, Fevrier Valdez and José Soria

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IEEE-SSCI 2013: Technical Program

SS-0629 ABC-TDQL: An Adaptive Memetic Algorithm—Pratyusha Rakshit, Amit Konar, Swagatam Das

and Atulya K. Nagar

SS-0795 Predicting Item Difficulty in a Language Test with an Adaptive Neuro Fuzzy Inference System—

Vahid Aryadoust

SS-0412 Optimization of Fuzzy Control Systems with Different Variants of Particle Swarm Optimization—

Resffa Fierro, Oscar Castillo and Fevrier Valdez

SS-0787 Genetic Optimization of Interval Type-2 Fuzzy Reactive Controllers for Mobile Robots—Abraham Melendez

and Oscar Castillo

IEEE Symposium on Intelligent Agents (IEEE IA 2013)

The 2013 IEEE International Symposium on Intelligent Agents (IA 2013) will be held within the 2013 IEEE Symposium

Series on Computational Intelligence (SSCI 2013). The intersection between Computational Intelligence and Agent technology

opens new significant opportunities in many fields where the representation and management of complex systems

play a fundamental role. In the formulation of Agent-based systems, the role of uncertainty is crucial for an efficient

and coherent resolution of complex problems. Agents overcome classical programs thanks to their inner capabilities to be

autonomous and to adapt their behaviour with the changing of the environment where agents live and interact. This means

that inevitably they meet uncertainty during their work, or in many cases, for the high complexity of the problem, the information

they handle is (or needs to be) approximate. IA 2013 will aim to provide a leading international forum to bring

together researchers and practitioners from diverse fields, such as computer science, information technology, business, education,

human factors, systems engineering, and robotics. The symposium will aim to examine the design principles and

performance characteristics of various approaches in intelligent agent technology. In addition, the symposium will aim to

increase the cross-fertilization of ideas on the development of autonomous agents and multi-agent systems among different

domains. By encouraging idea-sharing and discussions on the underlying logical, cognitive, physical, and sociological foundations

as well as the enabling technologies of intelligent agents, IA 2013 will foster the development of novel paradigms

and advanced solutions in agent-based computing.

Co-Chair(s)

Hani Hagras

University of Essex, UK

Program Committee

Waleed Abdulla, University of Auckland, New Zealand

Plamen Angelov, University of Lancaster, UK

Abdelhamid Bouchachia, Klagenfurt University, Austria

Diane Cook, Washington State University, USA

Kerstin Dautenhahn, University of Hertfordshire, UK

Hakan Duman, British Telecom, UK

Faiyaz Doctor, University of Essex, UK

Barbara Hammer, Clausthal University of Technology, Germany

Mohamed Ibrahim, Heilbronn University, Germany

Achilles Kameas, Hellenic Open University and CTI, Greece

Chang-Shing Lee, National University of Tainan, Taiwan

Vinczenco Loia, University of Salerno, Italy

Antonio Lopez, University of Oviedo, Spain

Vincenzo Loia

NUniversity of Salerno, Italy

Wolfgang Minker, University of Ulm, Germany

Rabie Ramadan, Cairo University, Egypt

Sabrina Senatore, University of Salerno, Italy

Mihaela Ulieru, University of New Brunswick, Canada

Christian Wagner, University of Essex, UK

Michael Weber, University of Ulm, Germany

Giancarlo Fortinio, University of Calabria, Italy

Thanos Vasilakos, University of Western Macedonia, Greece

Antonina Dattolo, University of Udine, Italy

Ahmed Lotfi, Nottingham Trent University, UK

Germano Resconi, Catholic University, Italy

Fernando Buarque, University of Pernambuco, Brazil

Session: Intelligent Agents Applications

Chair: Zita Vale Co-Chair: Erik Cambria

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-1020 Application of Intention Awareness and Sentic Computing for Sensemaking in Joint-Cognitive

Systems—Newton Howard

SS-0722 Scenarios Generation for Multi-Agent Simulation of Electricity Markets Based on Intelligent Data

Analysis—Gabriel Santos, Isabel Praça, Tiago Pinto, Sérgio Ramos and Zita Vale

SS-0488 Lesson Authoring System for Creating Interactive Activities Involving Virtual Humans – The Thinking Head

Whiteboard—Marissa Milne, Richard Leibbrandt, Parimala Raghavendra, Martin Luerssen, Trent Lewis

and David Powers

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IEEE-HIMA 2013


IEEE-IA 2013

IEEE-SSCI 2013: Technical Program

Session: Evolving Intelligent Agents

Chair: Giovanni Acampora Co-Chair: Jacob W. Crandall

Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-0695 Collaborative Memetic Agents for Enabling Semantic Interoperability—Giovanni Acampora and Autilia Vitiello

SS-0377 Genetic Algorithms in Repeated Matrix Games: The Effects of Algorithmic Modifications and Human Input

with Various Associates—Yomna M. Hassan and Jacob W. Crandall

SS-0502 Hybrid Methodologies to Foster Ontology-Based Knowledge Management Platform—V. Loia, G. Fenza,

C. De Maio and S. Salerno

Session: Intelligent Agents Mechanisms

Chair: Ana L. C. Bazzan Co-Chair: Seng-Beng Ho

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Nightingale Level 4

SS-0324 A Grand Challenge for Computational Intelligence – A Micro-Environment Benchmark for Adaptive

Autonomous Intelligent Agents—Seng-Beng Ho

SS-0311 Benefits of Routing and Replanning with Imperfect Information—Maicon de Brito do Amarante

and Ana L. C. Bazzan

SS-0196 Cooperative Induction of Decision Trees—Ana L. C. Bazzan

Keynote: Sentic Computing

By Dr. Erik Cambria Chair: David Powers

Date/Time: 10.30 – 11.30, Fri 19 April 2013 Venue: Galleria Ballroom Level 3

IEEE International Conference on Evolvable Systems

(IEEE ICES 2013)

Evolvable Systems use evolvable and other bio-inspired algorithms to create physical devices and designs. Further, Evolvable

Systems may have adaptive characteristics required for more robust components and systems that operate in a changing

environment. Examples of where evolvable systems have had some success include analogue and digital electronics, antennas,

MEMS chips, optical systems as well as quantum circuits.

Held without interruption since 1995, ICES has become the leading conference in the field of evolvable hardware and

systems. In a new and exciting move, ICES has joined the successful IEEE Symposium Series on Computational Intelligence.

This years’ conference includes papers from international researchers using Evolvable Systems in applications from antenna

design to robotics and in new technologies for FPGAs to custom devices and much more. In addition, we have a Keynote

address from Prof Gusz Eiben – one of the founders of evolutionary computing. We are sure you will find the conference

interesting and will inspire your future research.

Co-Chair(s)

Andy M. Tyrrell

University of York, UK

Program Committee

Andrew Adamatzky, University of the West of England, UK

Burcin Aktan, Intel Corporation, USA

Peter Bentley, University College London, UK

Michal Bidlo, Brno University of Technology, Czech Republic

Rolf Drechsler, University of Bremen, Germany

Marc Ebner, Eberhard Karls University of Tuebingen, Germany

R. Tim Edwards, Multigig Inc., USA

Stuart J. Flockton, Royal Holloway, University of London, UK

John Gallagher, Wright State University, USA

Pauline C. Haddow, NTNU, Norway

80

Pauline C. Haddow

NTNU, Norway

Alister Hamilton, University of Edinburgh, UK

Inman Harvey, University of Sussex, UK

James Hereford, Murray State University, USA

Tatiana Kalganova, Brunel University, UK

Paul Kaufmann, University of Paderborn, Germany

Didier Keymeulen, NASA, Jet Propulsion Laboratory, USA

Per Kristian Lehre, University of Birmingham, UK

Jordi Madrenas, Technical University of Catalunya, Spain

Trent McConaghy, Solido Design Automation, Canada

Julian Miller, University of York, UK


J Manuel Moreno Arostegui, Technical University of Catalunya,

Spain

Pierre-Andre Mudry, EPFL, Switzerland

Lucian Prodan, University Polytechnic of Timisoara, Romania

Daniel Roggen, ETH Zürich, Switzerland

Gilles Sassatelli, University of Montpellier 2, FRANCE

Lukas Sekanina, Brno University of Technology, Czech Republic

Stephen Smith, University of York, UK

Giovanni Squillero, Politecnico di Torino, Italy

Uwe Tangen, Ruhr-Univserity-Bochum, Germany

IEEE-SSCI 2013: Technical Program

Gianluca Tempesti, University of York, UK

Christof Teuscher, Portland State University, USA

Jon Timmis, University of York, UK

Jim Torresen, University of Oslo, Norway

Martin Trefzer, University of York, UK

Andy M. Tyrrell, University of York, UK

Fabien Vannel, University of Applied Sciences Western Switzerland,

Switzerland

James Walker, University of York, UK

Keynote: Artificial Evolution: from Digital to Physical

By Prof. Dr. AE (Gusz) Eiben Chair: Andy Tyrrell

Date/Time: 8.30 – 9.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

Session: Applications I

Chair: A. M. Tyrrell Co-Chair:

Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Sharma Level 4

SS-0054 Using Evolved Controllers to Adapt Behavior in Autonomous Nonlinear Systems—Garrison W. Greenwood

and Shubham Chopra

SS-0195 Evolutionary Design of a Wide-Band Twisted Dipole Antenna for X-Band Application—Zhu Liu,

Sanyou Zeng, Yuhong Jiang, Changhe Li and Ni Ouyang

SS-0619 Body Building: Hatching Robot Organisms—Berend Weel, Evert Haasdijk and A. E. Eiben

Session: Circuit Design

Chair: P. C. Haddow Co-Chair:

Date/Time: 13.40 – 15.20, Tue. 16 April 2013 Venue: Sharma Level 4

SS-0613 Approximate Circuit Design by Means of Evolvable Hardware—Lukas Sekanina and Zdenek Vasicek

SS-0672 Functional-Level Development of Image Filters by Means of Cellular Automata—Michal Bidlo

and Zdenek Vasicek

SS-0223 Exploiting the Reconfigurability of the PAnDA Architecture to Overcome Physical Substrate

Variations—James Alfred Walker, Martin A. Trefzer, Simon J. Bale and Andy M. Tyrrell

Session: Design Frameworks

Chair: M. A. Trefzer Co-Chair:

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0267 Concurrent Evolution of Hardware and Software for Application-Specific Microprogrammed Systems—

Milos Minarik and Lukas Sekanina

SS-0374 Extending the Hardware Architecture of Systemic Computation to a Complete Programming

Platform—Christos Sakellariou and Peter J. Bentley

SS-0770 On the Implications of Plug-and-Learn Adaptive Hardware Components – Toward a Cyberphysical Systems

Perspective on Evolvable and Adaptive Hardware—John C. Gallagher, Eric T. Matson

and Garrison W. Greenwood

Session: Applications II

Chair: L. Sekanina Co-Chair:

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0338 The Artificial Epigenetic Network—Alexander P. Turner, Michael A. Lones, Luis A. Fuente, Susan Stepney, Leo S.

D. Caves and Andy Tyrrell

SS-0963 Investigating Evolvable Hardware Classification for the BioSleeve Electromyographic Interface—Kyrre Glette,

Paul Kaufmann, Christopher Assad and Michael T. Wolf

81

IEEE-ICES 2013


IEEE-ICES 2013

IEEE-SSCI 2013: Technical Program

SS-0506 Design and Evaluation of an Adaptive Real-Time Microprocessor—Michael Bauer, Daniel Lohn,

Benjamin Betting and Uwe Brinkschulte

Session: Hardware Platforms

Chair: J. C. Gallagher Co-Chair:

Date/Time: 13.40 – 15.20, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0459 Towards Evolvable Systems Based on the Xilinx Zynq Platform—Roland Dobai and Lukas Sekanina

SS-0133 Designing Function Configuration Decoders for the PAnDA Architecture Using Multi-Objective Cartesian

Genetic Programming—James Alfred Walker, Martin A. Trefzer and Andy M. Tyrrell

SS-0728 DNA Tiling for Digital Evolvable Hardware—Pauline C. Haddow and Vinay Kumar Gautam

IEEE Workshop on Memetic Computing (MC 2013)

MC 2013 is the second Workshop on Memetic computing organized by IEEE CIS Emergent Technologies Task Force on

Memetic Computing. MC is defined as a paradigm that uses the notion of meme(s) as units of information encoded in

computational representations for the purpose of problem-solving. Taking a lead from the multi-faceted definitions and

roles of the term "meme” in Memetics, a plethora of potentially rich MC methodologies, frameworks and operational memeinspired

algorithms have been developed with considerable success in several real-world domains in the last two decades.

The aim of this workshop is to serve as a forum for scientists in this field to exchange the latest advantages in theories,

technologies, and practice of MC.

The final technical program consists of 14 paper submissions, one keynote, and one invited talk. The keynote will be delivered

by Prof. Jacek Mandziuk and the invited talk will be given by Dr. Partha Dutta. We hope you will find the workshop

interesting and enlightening. Hope you all have a productive and enjoyable time in this event.

Co-Chair(s)

Zexuan Zhu

Shenzhen University, China

Ruhul Sarker

The University of New South Wales, Australia

Program Committee

Anna Kononova, Heriot-Watt University, UK

Antonio LaTorre, Instituto Cajal – Consejo Superior de Investigaciones

Cientificas, Spain

Bin Li, University of Science and Technology of China, China

Bo Liu, Academy of Mathematics and Systems Science, Chinese

Academy of Sciences, China

Chuan-Kang Ting, National Chung Cheng University, Taiwan

Chi Keong Goh, Advanced Technology Centre, Rolls-Royce Singapore

Pte Ltd, Singapore

Dirk Sudholt, The University of Sheffield, UK

Ferrante Neri, University of Jyvaskyla, Finland

Giovanni Iacca, INCAS3, Netherlands

Hisao Ishibuchi, Osaka Prefecture University, Japan

János Botzheim, Tokyo Metropolitan University, Japan

Jim Smith, University of the West of England

Jin-Kao Hao, University of Angers, France

Jing Liang, Zhenzhou University, China

Kai Qin, MISTIS Team at INRIA Grenoble Rhone-Alpes, France

Kay Chen Tan, National University of Singapore, Singapore

Ke Tang, University of Science and Technology of China, China

Kengo Katayama, Okayama University of Science, Japan

Lee Kee Khoon, Institute of High Performance Computing, A-Star,

Singapore

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Maoguo Gong

Xidian University, China

Licheng Jiao, Xidian University, China

Lin-Yu Tseng, Providence University, Taiwan

Manuel Lozano, University of Granada, Spain

Martin Pilat, Charles University in Prague, Czech Republic

Meng-Hiot Lim, Nanyang Technological University, Singapore

Mengjie Zhang, Victoria University of Wellington, New Zealand

Natalio Krasnogor, University of Nottingham, United Kingdom

Oliver Schuetze, Cinvestav-IPN, Mexico

Pablo Moscato, The University of Newcastle, Australia

Qingfu Zhang, University of Essex, UK

Shaheen Fatima, Loughborough University, United Kingdom

Steven Gustafson, GE Global Research, USA

Swagatam Das, Jadavpur University, India

Tomas Maul, The University of Nottingham Malaysia Campus,

Malaysia

Xiao Yang, Broad Institute of MIT and Harvard, USA

Yanqing Zhang, Georgia State University, USA

Yaochu Jin, University of Surrey, UK

Yew-Soon Ong, Nanyang Technological University, Singapore

Ying-Ping Chen, National Chiao Tung University, Taiwan

Yong Wang, Central South University of China, China

Zhen Ji, Shenzhen University, China


IEEE-SSCI 2013: Technical Program

Session: Memetic Computing Session 1

Chair: Zexuan Zhu Co-Chair: Maoguo Gong

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Canary I Level 4

Invited The Role of Data in Computational Intelligence – An Industrial Perspective—Partha Dutta

SS-0567 Optimal Testing Resource Allocation for Modular Software Systems Based-on Multi-Objective Evolutionary

Algorithms with Effective Local Search Strategy—Yu Shuaishuai, Fei Dong and Bin Li

SS-0971 A Coevolving Memetic Algorithm for Simultaneous Partitional Clustering and Feature Weighting—

Yiwen Sun, Zexuan Zhu, Shan He and Zhen Ji

Session: Memetic Computing Session 2

Chair: Yew Soon Ong Co-Chair: Ying-ping Chen

Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Canary I Level 4

SS-0310 On the Effect of Population Size and Selection Mechanism from the Viewpoint of Collaboration Between

Exploration and Exploitation—Jih-Yiing Lin and Ying-ping Chen

SS-0483 On the Analysis of a (1+1) Adaptive Memetic Algorithm—Michael J. Dinneen and Kuai Wei

SS-0773 Research on Evolution Hardware Design Based on Memetic Algorithm—Hongwei Mo and Longlong Meng

SS-0280 A Hybrid Imperialist Competitive-Gravitational Attraction Search Algorithm to Optimize Cloud Service

Composition—Amin Jula, Zalinda Othman and Elankovan Sundararajan

Keynote: Multigame Playing — A Challenge for Computational Intelligence

By Prof. Jacek Mańdziuk Chair: Zexuan Zhu

Date/Time: 13.30 – 14.30, Tue. 16 April 2013 Venue: Lyrebird Level 3

Session: Memetic Computing Session 3

Chair: Ferrante Neri Co-Chair: Jing Liang

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Canary I Level 4

SS-0207 A Graph-Based Memetic Approach to Sketch Geolocation—Andrew R. Buck and James M. Keller

SS-0316 Re-Sampling Search: A Seriously Simple Memetic Approach with a High Performance—Fabio Caraffini,

Ferrante Neri, Mario Gongora and Benjamin N. Passow

SS-0711 Probabilistic Memetic Algorithm for Flowshop Scheduling—Bo Liu, Juan-Juan Xu, Bin Qian, Jian-Rong Wang

and Yan-Bin Chu

SS-0937 Performance Evaluation of Dynamic Multi-Swarm Particle Swarm Optimizer with Different Constraint

Handling Methods on Path Planning Problems—J. J. Liang, H. Song and B. Y. Qu

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0302 Automatic Kernel Clustering with Quantum-Behaved Particle Swarm Optimization Algorithm—Yangyang Li,

Maoguo Gong and Yanru Zhang

SS-0514 A Memetic Algorithm for Uncertain Capacitated Arc Routing Problems—Juan Wang, Ke Tang and Xin Yao

SS-0754 Hybrid Immune Algorithm with LK Based Local Search for the Traveling Salesman Problem—Yutao Qi

and Yi Duan

SS-0564 Prediction of Protein-Protein Interactions from Amino Acid Sequences Using Extreme Learning Machine

Combined with Auto Covariance Descriptor—Zhu-Hong You, Liping Li, Zhen Ji, Min Li and Sen Guo

IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making

(IEEE MCDM 2013)

IEEE MCDM 2013 is the fourth IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making. This

international event promotes all aspects of the theory and applications of computational intelligence (i.e., neural networks,

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IEEE-SSCI 2013: Technical Program

fuzzy systems and evolutionary computation) in all areas related to multi-criteria decision making, including multi-objective

optimization, multi-objective machine learning, multi-objective analysis of biological systems, interactive visualization techniques,

and decision making techniques.

The final technical program consists of 8 papers organized in two sessions.

Co-Chair(s)

Carlos A. Coello Coello

CINVESTAV-IPN, Mexico

Program Committee

Piero P. Bonissone

GE Global Research, USA

Hussein A. Abbass, University of New South Wales, Australia

Adel M. Alimi, University of Sfax, Tunisia

Hernan Aguirre, Shinshu University, Japan

Gideon Avigad, Braude College of Engineering, Israel

Ulrich Bodenhofer, Johannes Kepler University, Austria

B. Chandrasekaran, The Ohio State University, USA

Pei-Chann Chang, Yuan Ze University, Taiwan

Francisco Chiclana, De Montfort Univeristy, UK

Oscar Cordon, European Centre for Soft Computing, Spain

David Corne, Heriot-Watt University, UK

Bernard De Baets, Ghent University, Belgium

Thierry Denoeux, Université de Technologie de Compiègne, France

Matthias Ehrgott, The University of Auckland, New Zealand

Rudolf Felix, F/L/S Fuzzy Logik Systeme GmbH, Germany

Jonathan E. Fieldsend, University of Exeter, UK

Peter Fleming, University of Sheffield, UK

Thomas Hanne, University of Applied Sciences Northwestern,

Switzerland

Francisco Herrera, University of Granada, Spain

Enrique Herrera-Viedma, University of Granada, Spain

Arturo Hernandez Aguirre, Center for Research in Mathematics,

Mexico

Chongfu Huang, Beijing Normal University, China

Beatriz de la Iglesia, University of East Anglia, UK

Yaochu Jin

University of Surrey, UK

Masahiro Inuiguchi, Osaka University, Japan

Fernando Jiménez, University of Murcia, Spain

Janusz Kacprzyk, Polish Academy of Sciences, Poland

Uzay Kaymak, Erasmus University Rotterdam, The Netherlands

DaeEun Kim, Yonsei University, South Korea

Mario Koeppen, Kyushu Institute of Technology, Japan

Sanaz Mostaghim, Karlsruhe Institute of Technology, Germany

Luiz S. Oliveira, Federal University of Parana, Brazil

Antonio Padua Braga, Universidade Federal de Minas Gerais, Brazil

Nikhil R. Pal, Indian Statistical Institute, India

Da Ruan, The Belgian Nuclear Research Centre and Ghent University,

Belgium

João M. Sousa, Technical University of Lisbon, Portugal

Raj Subbu, GE Global Research, USA

El-Ghazali Talbi, University of Lille, France

Kay Chen Tan, National University of Singapore, Singapore

Kiyoshi Tanaka, Shinshu University, Japan

Vicenc Torra, IIIA-CSIC, Spain

Ronald R. Yager, Iona College, USA

Yiyu Yao, University of Regina, Canada

Gary G. Yen, Oklahoma State University, USA

Ali Riza Yildiz, Mississippi State University, USA

Feng Xue, GE Global Research, USA

Qingfu Zhang, University of Essex, UK

Keynote: MOEAs: Applications in Bioinformatics and Data Mining

By Prof. Sanghamitra Bandyopadhyay Chair: Barbara Hammer

Date/Time: 8.30 – 9.30, Tue. 16 April 2013 Venue: Galleria Ballroom Level 3

Session: Multi-Objective Evolutionary Algorithms and Applications

Chair: Hisao Ishibuchi Co-Chair(s): Hussein Abbass, David Corne

Date/Time: 13.40 – 15.20, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0289 A New Niching Method for the Direction-Based Multi-Objective Evolutionary Algorithm—Long Nguyen,

Lam Thu Bui and Hussein Abbass

SS-0251 Two Decomposition-Based Modern Metaheuristic Algorithms for Multi-Objective

Optimization – A Comparative Study—Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello

and Juan M. Ramirez

SS-0623 MOPC/D: A New Probability Collectives Algorithm for Multiobjective Optimisation—David Morgan, Antony

Waldock and David Corne

SS-0804 Effects of Duplicated Objectives in Many-Objective Optimization Problems on the Search Behavior of

Hypervolume-Based Evolutionary Algorithms—Hisao Ishibuchi, Masakazu Yamane and Yusuke Nojima

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IEEE-SSCI 2013: Technical Program

Session: Multi-Criteria Decision Making and Hybrid Approaches

Chair: Swagatam Das Co-Chair:

Date/Time: 15.50 – 17.30, Fri. 19 April 2013 Venue: Canary I Level 4

SS-0673 Autonomous Multi-Criteria Decision Making for Route Selection in a Telecommunication Network—

Farouk Aissanou and Alain Petrowski

SS-0600 Sets of Interacting Scalarization Functions in Local Search for Multi-Objective Combinatorial Optimization

Problems—Madalina M. Drugan

SS-0270 A Hybridization of MOEA/D with the Nonlinear Simplex Search Algorithm—Saúl Zapotecas Martínez and

Carlos A. Coello Coello

SS-0867 Goal Programming Approach for Multi-Criteria Decision-Making for an Energy Efficient Event Recognition

Scheme—Salman A. Khan and Mohamed Baqer

IEEE Workshop on Robotic Intelligence in Informationally Structured Space

(IEEE RiiSS 2013)

It is my pleasure to welcome you to RiiSS 2013 – IEEE Workshop on Robotic Intelligence in Informationally Structured Space.

RiiSS 2013 is being hosted by IEEE Symposium Series on Computational Intelligence 2013, in Singapore. This is the third

RiiSS workshop after the first one was successfully held in Nashville in 2009 and the second one in Paris in 2011.

RiiSS2013 will bring together scientists, engineers and students from around the world to discuss the latest advances in

the field of robot intelligence within the context of informationally structured space. Recently, the emerging synthesis of

information technology (IT), network technology (NT), and robot technology (RT) is one of the most promising approaches

to realize a safe, secure, and comfortable society for the next generation. Human-centered systems require, in particular,

sophisticated physical and information services, which are based on sensor networks, ubiquitous computing, and intelligent

artifacts. Information resources and the accessibility within an environment are essential for people and for robots. The

environment surrounding people and robots should have a structured platform for gathering, storing, transforming, and

providing information. Such an environment is called informationally structured space. The intelligent computing for the

design and use of the informationally structured space should be discussed from various points of view at the same time.

An intelligent robot can be an interface connecting between people and informationally structured space to search and provide

information. Computational intelligence plays an important role in dealing with perception, action, decision-making,

planning, adaptation, and learning of robots in the informationally structured space.

RiiSS is the result of time and involvement of many people. We are grateful to the authors for their interest in this workshop

and submitting their work. We would like to acknowledge many reviewers who volunteered and dedicated their

valuable time and effort to assure the quality of the papers.

This workshop was originally planned when we started the Robotics Task Force of the Intelligent Systems Applications

Technical Committee (ISATC) of the IEEE Computational Intelligence Society (IEEE/CIS) back in 2007. In fact, most of the

Technical Program Committee members are from the Task Force. We would like to thank them for their long-term support

to make this workshop a reality and a success.

RiiSS 2013 is very honored to have Prof. Tetsuya Ogata, Waseda University as a keynote speaker. Prof. Tetsuya is one of

distinguished researchers on the intelligent space based on dynamical systems approach for human-robot interaction.

Chair(s)

Honghai Liu

University of Portsmouth, UK

Program Committee

Eun Yeong Ahn, Google Inc., USA

Laurence Amaral, Federal University of Uberlandia, Brazil

Tsourdos Antonios, Cranfield University, UK

Valentina Balas, University of Arad, Romania

Senen Barro, University of Santiago de Compostela, Spain

Branislav Borovac, University of Novi Sad, Serbia

Janos Botzheim, Tokyo Metropolitan University, Japan

Jiangtao Cao, Liaoning Shihua University, China

Chee Seng Chan, University of Malaya, Malaysia

Antonio Chella, University of Palermo, Italy

Ryad Chellali, Institute of Italy Technologies, Italy

Xiang Chen, University of Windsor, Canada

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Naoyuki Kubota

Tokyo Metropolitan University, Japan

Zhaopeng Chen, German Aerospace Center, Germany

Sung-Bae Cho, Yonsei University, Korea

Ernesto Cuadros-Vargas, San Pablo Catholic University, Peru

Sergio Decherchi, Fondazione Istituto Italiano di Tecnologia, Italy

Nicolas Durand, ENAC, France

Dong-Ming Gan, Khalifa University of Science, Technology and

Research, Abu Dhabi, UAE

Samir Garbaya, ENSAM - Arts et Metiers ParisTech, France

Dawei Gong, University of Electronic Science and Technology, China

Dongbing Gu, University of Essex, UK

Frank Guerin, University of Aberdeen, UK

Maki Habib, The American University in Cairo, Egypt

IEEE-MCDM 2013


IEEE-RIISS 2013

Donggui Han, Wuhan Textile University, China

Meng Hu, Drexel University, USA

Yuancan Huang, Beijing Institute of Technology, China

Ryota Ishibashi, Tokyo Metropolitan University, Japan

Yinlai Jiang, Kochi University of Technology, Japan

Ming-Yi Ju, National University of Tainan, Taiwan

Robert Karlsen, US Army - TARDEC, USA

Graham Kendall, University of Nottingham, Malaysia

Kazuo Kiguchi, Kyushu University, Japan

Jong-Hwan Kim, KAIST, South Korea

Kyung-Joong Kim, Sejong University, South Korea

Futoshi Kobayashi, Kobe University, Japan

Robert Kozma, University of Memphis, USA

Daisuke Kurabayashi, Tokyo Institute of Technology, Japan

Hak-Keung Lam, King’s College London, UK

Quan Le, UCD, Ireland

Chang-Shing Lee, National University of Tainan, Taiwan

Hongliang Li, Institute of Automation Chinese Academy of Sciences,

China

Hongyi Li, Portsmouth University, UK

Xinde Li, Southeast University, China

Chien-Chou Lin, National Yunlin University of Science and Technology,

Taiwan

Alejandro Linares-Barranco, University of Seville, Spain

Daniel Ly, Cornell Univerity, USA

Chu Kiong Loo, University of Malaya, Malaysia

Yoichiro Maeda, University of Fukui, Japan

Noureddine Manamanni, University of Reims Champagne Ardenne,

France

Hiroyuki Masuta, Kanagawa University, Japan

IEEE-SSCI 2013: Technical Program

Qiinggang Meng, Loughborough University, UK

Gyula Mester, University of Szeged, Hungary

Kazuhiro Ohkura, Hiroshima University, Japan

Gaoxiang Ouyang, Beijing Normal University, China

Dimokritos Panagiotopoulos, Technological Educational Institute of

West Macedonia, Greece

Gary Parker, Connecticut College, USA

Nicolas Pugeault, University of Surrey, UK

Imre Rudas, Obuda University, Hungary

Ulrich Ruckert, University of Paderborn, Germany

Kave Salamatian, University of Savoie, France

Minghui Shi, Xiamen University, China

Joaquin Sitte, Queensland University of Technology, Australia

Stephen Stubberud, Raytheon, USA

Chrysostomos Stylios, TEI OF EPIRUS, Greece

Indra Adji Sulistijono, Electronics Engineering Polytechnic Institute

of Surabaya, Indonesia

Jiacheng Tan, Portsmouth University, UK

Jozsef Tar, Obuda University, Hungary

Vicenc Torra, IIIA-CSIC, Spain

Steven Van Vaerenbergh, University of Cantabria, Spain

Shuming Wang, National University of Singapore, Singapore

Kok Wai Wong, Murdoch University, Australia

Peter Xu, University of Auckland, New Zealand

Yoichi Yamazaki, Kanto Gakuin University, Japan

Hao Ying, University of Wayne, USA

Xiao-Jun Zeng, University of Manchester, UK

Xuguang Zhang, Yanshan University, China

Junyang Zhao, Xi’an Research Inst. of Hi-tech, China

Session: Intelligent behavior learning of robots I

Chair: Kazuo Kiguchi, Kyushu University, Japan Co-Chair: Futoshi Kobayashi, Kobe University, Japan

Date/Time: 15.50 – 17.30, Thu. 18 April 2013 Venue: Cardinal Level 3

SS-0290 Slip Detection Using Robot Fingertip with 6-Axis Force/torque Sensor—Hayato Kanno, Hiroyuki Nakamoto,

Futoshi Kobayashi, Fumio Kojima and Wataru Fukui

SS-0364 Application of Magnetic Type Tactile Sensor to Gripper—Hiroyuki Nakamoto and Satoru Takenawa

SS-0478 Cyclic Motion Generation for Intelligent Robot by Evolutionary Computation—János Botzheim, Noriko Takase

and Naoyuki Kubota

SS-0762 Estimation of Joint Force/Torque Based on EMG Signals—Kazuo Kiguchi, Kaori Tamura and Yoshiaki Hayashi

SS-0784 Fuzzy Logic Temperature Controller for Small Robots—A. Jebelli, V. Kanavallil, D. Necsulescu

and M. C. E. Yagoub

Session: Computational Intelligence for Robotics

Chair: Honghai Liu, University of Portsmouth Co-Chair: Naoyuki Kubota, Tokyo Metropolitan University

Date/Time: 8.30 – 10.10, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0372 Adaptive and Safe Mobile Manipulator for Human Robot Interaction—Amal Meddahi and Ryad Chellali

SS-0745 Color Based Stereo Correspondence Algorithm with Adaptive Local Support—Ashutosh Mishra,

Rajesh Uniyal, Naman Madan and Rajesh Rohilla

SS-0785 EMG-EMG Correlation Analysis for Human Hand Movements—Zhaojie Ju, Gaoxiang Ouyang and Honghai Liu

SS-0925 Evolutionary Conditions for the Emergence of Robotic Theory of Mind with Multiple Goals—

Kyung-Joong Kim, Kang Yong Eo, Ye Ran Jung, Si On Kim and Sung-Bae Cho

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IEEE-SSCI 2013: Technical Program

Session: Intelligent learning algorithms for multi-robot systems

Chair: Chu Kiong Loo, University of Malaya, Malaysia Co-Chair: Chee Seng Chan, University of Malaya, Malaysia

Date/Time: 10.40 – 12.20, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0205 A Concurrent Approach to Robot Team Learning—Larry Ng and M. Reza Emami

SS-0210 Biological Inspired Human Action Recognition—Bardia Yousefi, Chu Kiong Loo and Ali Memariani

SS-0763 Approaches to Dynamic Team Sizes—G. S. Nitschke and S. M. Tolkamp

SS-0797 Reinforcement Learning-Based Robust Adaptive Tracking Control for Multi-Wheeled Mobile Robots

Synchronization with Optimality—Nguyen Tan Luy, Nguyen Thien Thanh and Hoang Minh Tri

SS-0941 A Distributed Multi Robot SLAM System for Environment Learning—Syed Riaz Un Nabi Jafri and Ryad Chellali

Session: Kukanchi - interactive human space design and intelligence

Chair: Janos Botzheim, Tokyo Metropolitan University,

Japan

Date/Time: 13.40 – 15.00, Fri. 19 April 2013 Venue: Cardinal Level 3

Co-Chair: Naoyuki Kubota, Tokyo Metropolitan University,

Japan

SS-0468 Integration of Behaviors and Languages with a Hierarchal Structure Self-Organized in a Neurodynamical

Model—Tetsuya Ogata and Hiroshi G. Okuno

SS-0556 Developing an Information Giving System for Supporting Community Society—Ryuichi Tachibana,

Shun Nomura, Jiguo Zhen, Yihsin Ho, Yasunari Fujimoto and Toru Yamaguchi

SS-0936 Maritime Space Understanding Using Multiple Radar Systems by Iterative Image Reconstuction

Algorithm—Syoji Kobashi, Hokuto Mita, Kazuya Nakagawa, Koji Nishiyama, Hitoshi Maeno, Kei Kuramoto and

Yutaka Hata

SS-0939 A Path Planning Behavior Learning of Six Legged Robot Based on Human Teaching Model—

Indra Adji Sulistijono, Marianus Bayu Aji Kurniawan, Setiawardhana and Eka Prasetiono

Keynote: Active Space-Body Perception and Body Enhancement Using Dynamical Neural Systems

By Dr. Tetsuya Ogata Chair: Naoyuki Kubota

Date/Time: 15.30 – 16.30, Fri. 19 April 2013 Venue: Galleria Ballroom Level 3

Session: Intelligent behavior learning of robots II

Chair: Kazuo Kiguchi, Kyushu University, Japan Co-Chair: Futoshi Kobayashi, Kobe University, Japan

Date/Time: 16.50 – 17.30, Fri. 19 April 2013 Venue: Cardinal Level 3

SS-0893 Proposal of Learning Method which Selects Objectives Based on the State—Hironori Miura

and Kentarou Kurashige

SS-0055 Trajectory Tracking Control of a Mobile Robot by Computed Torque Method with On-Line Learning Neural

Network—Thuan Hoang Tran, Van Tinh Nguyen, Thuong Cat Pham and Minh Tuan Pham

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0701 Learning Based Robot Control with Sequential Gaussian Process—Sooho Park, Shabbir Kurbanhusen Mustafa

and Kenji Shimada

IEEE Symposium on Differential Evolution (IEEE SDE 2013)

We extend a warm and heartfelt welcome to the delegates to 2013 Symposium on Differential Evolution (SDE) being held

under IEEE SSCI 2013. Differential Evolution (DE) is arguably one of the most powerful stochastic real parameter optimization

algorithms of current interest. DE and its variants have earned a widespread reputation within a short span of time due

to their performances over optimization problems of widely varying nature that include single-objective, multi- objective,

multi-modal, constrained, dynamic, and large-scale, etc. Although research on and with DE has reached an impressive state,

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IEEE-SSCI 2013: Technical Program

there are still many open problems and new application areas are continually emerging for the algorithm. We are confident

that this symposium will play a key role in bringing researchers and users from academia and industry together to report,

interact and review the latest progress in this field, to explore future directions of research and to publicize DE to a wider

audience from diverse fields.

The final technical program consist of 23 submissions organized in different sessions. There will be a keynote lecture

delivered by Prof. Ferrante Neri. We hope you will find the symposium very interesting, and you will enjoy sharing time

with your colleagues during the symposium to exchange new ideas.

Co-Chair(s)

Janez Brest

University of Maribor, Slovenia

P. N. Suganthan

Nanyang Technological University, Singapore

Program Committee

M. A. Asaf, Australia

L. S. Batista, Brazil

B. Boskovic, Slovenia

L. d. S. Coelho, Brazil

D. Davendra, Czech Republic

H. Dhahri, Tunisia

S. Elsayed, Australia

A. P. Engelbrecht,

South Africa

M. Epitropakis, Greece

V. Feoktistov, France

M. Fukumoto, Japan

K. Gao, Singapore

S. Houben, Germany

J. Lampinen, Finland

R. Landa, Mexico

R. Mallipeddi, Singapore

E. Mezura Montes, Mexico

Swagatam Das

Jadavpur University, Calcutta, India

Ferrante Neri

University of Jyväskylä, Finland

S. Muelas, Spain

A. Mohamed, Egypt

M. N. Omidvar, Australia

Q. Pan, China

M. Pant, India

V. Plagianakos, Greece

K. V. Price, USA

A. K. Qin, China

S. Rahnamayan, Canada

Session: Theoretical Analysis of the Search Mechanism in DE

Chair: Ferrante Neri Co-Chair: Janez Brest

Date/Time: 8.30 – 10.10, Thu. 18 April 2013 Venue: Kingfisher Level 4

J. Silc, Slovenia

T. Takahama, Japan

F. M. Tasgetiren, Turkey

J. Tvrdik, Czech Republic

M. Yang, China

Y. Wang, China

D. Zaharie, Romania

A. Zamuda, Slovenia

T. Zhang, USA

SS-0136 Parameter Control Mechanisms in Differential Evolution: A Tutorial Review and Taxonomy—

Tsung-Che Chiang, Cheng-Nan Chen and Yu-Chieh Lin

SS-0158 Fruitless Search in Differential Evolution—A. P. Engelbrecht

SS-0405 A Novel Differential Evolution Algorithm with Gaussian Mutation that Balances Exploration and

Exploitation—Dong Li, Jie Chen and Bin Xin

SS-0422 A Hybrid Algorithm for Spatial Small Area Estimation Under Models with Complex Contiguity—

Georgy Sofronov

SS-0438 Evaluate Till You Violate: A Differential Evolution Algorithm Based on Partial Evaluation of the Constraint

Set—Md Asafuddoula, Tapabrata Ray and Ruhul Sarker

Session: Adaptation and Tuning of the Control Parameters and Perturbation Techniques in DE

Chair: Swagatam Das Co-Chair: Fatih Tasgetiren

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Kingfisher Level 4

SS-0252 Adaptive Differential Evolution with Difference Mean Based Perturbation for Dynamic Economic Dispatch

Problem—Rupam Kundu, Rohan Mukherjee, Swagatam Das and Athanasios V. Vasilakos

SS-0376 Micro-Differential Evolution with Extra Moves Along the Axes—Fabio Caraffini, Ferrante Neri

and Ilpo Poikolainen

SS-0404 Censoring Mutation in Differential Evolution—Karol Opara and Jaroslaw Arabas

SS-0431 Synchronizing Differential Evolution with a Modified Affinity-Based Mutation Framework—Subhodip Biswas,

Souvik Kundu, Digbalay Bose, Swagatam Das and P. N. Suganthan

SS-0134 Performance Tuning of Java EE Application Servers with Multi-Objective Differential Evolution—

Marko Lešnik, Borko Bošković and Janez Brest

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IEEE-SSCI 2013: Technical Program

Session: Applications of DE

Chair: Swagatam Das Co-Chair: Fatih Tasgetiren

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Kingfisher Level 4

SS-0287 Investigating Differential Evolution Based Rule Discovery in Learning Classifier Systems—Essam Debie,

Kamran Shafi, Chris Lokan and Kathryn Merrick

SS-0339 LuGre Friction Model Identification and Compensator Tuning Using a Differential Evolution

Algorithm—Philippe Feyel, Gilles Duc and Guillaume Sandou

SS-0667 Null Control in Linear Antenna Arrays with Ensemble Differential Evolution—Mustafa Secmen,

M. Fatih Tasgetiren and Korhan Karabulut

SS-0835 An Optimized Watermarking Technique Based on DE in DWT-SVD Domain – Optimized Watermarking

Technique—Musrrat Ali, Chang Wook Ahn and Millie Pant

SS-1016 A Differential Evolution Based Algorithm for Single Container Loading Problem—B. M. Domingo,

S. G. Ponnambalam and G. Kanagaraj

Keynote: Understanding Differential Evolution

By Dr. Ferrante Neri Chair: Swagatam Das

Date/Time: 8.30 – 9.30, Fri. 19 April 2013 Venue: Galleria Ballroom Level 3

Session: Constraint Handling, Noisy and Dynamic Optimization with DE

Chair: Ruhul Sarker Co-Chair: Ferrante Neri

Date/Time: 10.50 – 12.20, Fri. 19 April 2013 Venue: Kingfisher Level 4

SS-0049 Differential Evolution with Automatic Population Injection Scheme for Constrained Problems—

Saber M. Elsayed and Ruhul A. Sarker

SS-0220 Scheduling the Lot-Streaming Flowshop Scheduling Problem with Setup Time with the Chaos-Induced

Enhanced Differential Evolution—Donald Davendra, Magdalena Bialic-Davendra and Roman Senkerik

SS-0756 Dynamic Differential Evolution with Difference Mean Based Perturbation—Rupam Kundu, Rohan Mukherjee,

Shantanab Debchoudhury, Swagatam Das and Athanasios V. Vasilakos

SS-0849 Ensemble Crowding Differential Evolution with Neighborhood Mutation for Multimodal

Optimization—Sheldon Hui and Ponnuthurai Nagaratnam Suganthan

Posters Date/Time: 9.30 – 16.30, Thu. 18 April 2013 (Foyer Level 4)

SS-0747 An Improved Parallel Differential Evolution Approach for Protein Structure Prediction Using Both 2D and

3D Off-Lattice Models—Diego H. Kalegari and Heitor S. Lopes

SS-0924 Statistical Analysis of Convergence Performance Throughout the Evolutionary Search: A Case Study with

SaDE-MMTS and Sa-EPSDE-MMTS—Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera and

Ponnuthurai N. Suganthan

SS-1009 A Brief Survey of Differential Evolution on Graphic Processing Units—Pavel Krömer, Jan Platoš

and Václav Snášel

IEEE Symposium on Swarm Intelligence (IEEE SIS 2013)

The 2013 IEEE Swarm Intelligence Symposium (SIS 2013) will be held in Singapore, April 16 – 19, 2013 It will be part of

the IEEE Symposium Series on Computational Intelligence 2013, which consists of over 20 symposia. The theme of the

SIS2013 is to provide a platform for researchers, academicians, students, engineers, and government officers from all over

the world to share and exchange information in the swarm intelligence research areas ranging from algorithm development

to real-world applications. Authors are invited to submit their original and unpublished work related to swarm intelligence,

including research, theory, development, and applications.

89

IEEE-SDE 2013


IEEE-SIS 2013

Co-Chair(s)

Yuhui Shi

Xi’an Jiaotong-Liverpool University, China

Publicity Co-Chair(s)

Licheng Jiao

Xidian University, China

Program Committee

Aimin Zhou, China

Andreas Janecek, Austria

Andries P. Engelbrecht, South Africa

Arun Khosla, India

Ashraf Abdelbar, Egypt

Benlian Xu, China

Beat Hirsbrunner, Switzerland

Bernd Meyer, Australia

Bijaya Ketan Panigrahi, India

Bob Reynolds, USA

Christian Blum, Spain

Colin G. Johnson, UK

Haibin DUAN, China

Hongwei Mo, China

Jing (Jane) Liang, China

Ju Liu, China

IEEE-SSCI 2013: Technical Program

Yaochu Jin

Honda Research Institute Europe, Germany

Jun Sun, China

Jun Zhang, China

Leandro dos Santos Coelho, Brazil

Licheng Jiao, China

Mahamed G. H. Omran, Kuwait

Maoguo Gong, China

Martin Middendorf, Germany

Maurice Clerc, France

Mengjie Zhang, New Zealand

Michael N. Vrahatis, Greece

Oscar Cordon, SPAIN

Payman Arabshahi, USA

Prithviraj (Raj) Dasgupta, USA

Kai Qin, France

Qingfu Zhang, UK

Sanghyuk Lee, China

P. N. Suganthan

Nanyang Technological University, Singapore

Session: Multimodal and Multi-Objective Optimization Problems

Chair: Jing Liang Co-Chair:

Date/Time: 8.30 – 10.10, Tue. 16 April 2013 Venue: Paradiso Level 3

Yanqing Zhang

Georgia State University

Rong Qu, UK

Tao Gong, China

Thomas Stützle, Belgium

Tiew on Ting, China

Tim Blackwell, UK

Vittorio Maniezzo, Italy

Xiaojun Zeng, UK

Xingquan Zuo, China

Xin-she Yang, UK

Xiao-Feng Xie, USA

Yaochu Jin, Germany

Ying Tan, China

Yongsheng Ding, China

Ziad Kobti, Canada

SS-0633 Large-Scale Portfolio Optimization Using Multi-Objective Dynamic Mutli-Swarm Particle Swarm

Optimizer—J. J. Liang and B. Y. Qu

SS-0879 Evaluation of the Mean-Variance Mapping Optimization for Solving Multimodal Problems—José L. Rueda and

István Erlich

SS-1028 Reinforcement Learning in Swarm-Robotics for Multi-Agent Foraging-Task Domain—M. Yogeswaran,

S. G. Ponnambalam and G. Kanagaraj

SS-0891 A MapReduce Based Glowworm Swarm Optimization Approach for Multimodal Functions—Ibrahim Aljarah

and Simone A. Ludwig

Session: Ant Colony Optimization Algorithm

Chair: Oscar Castillo Co-Chair: Shigeo Doi

Date/Time: 10.40 – 12.20, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0155 An Ant Colony System for the Capacitated Vehicle Routing Problem with Uncertain Travel Costs—

N. E. Toklu, R. Montemanni and L. M. Gambardella

SS-0406 A New Methodology for Membership Function Design Using Ant Colony Optimization—

Evelia Lizárraga Olivas, Oscar Castillo, José Soria and Patricia Melin

SS-0419 Proposal and Evaluation of a Pheromone-Based Algorithm for the Patrolling Problem in Dynamic

Environments—Shigeo Doi

SS-0511 A Novel ACO Algorithm for Dynamic Binary Chains Based on Changes in the System’s Stability—

Claudio Iacopino, Phil Palmer, Andrew Brewer, Nicola Policella and Alessandro Donati

SS-0769 A Common Interval Guided ACO Algorithm for Permutation Problems—Martin Claub, Matthias Bernt and

Martin Middendorf

90


IEEE-SSCI 2013: Technical Program

Session: Swarm Intelligence for Global Optimization

Chair: Andries Engelbrecht Co-Chair:

Date/Time: 13.40 – 14.20, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0392 On Adaptive Chaotic Inertia Weights in Particle Swarm Optimization—Martins Akugbe Arasomwan and

Aderemi Oluyinka Adewumi

SS-0979 Comprehensive Learning Particle Swarm Optimizer with Guidance Vector Selection—Nandar Lynn

and P. N. Suganthan

Keynote: Third Decade of Swarm Intelligence: Looking Beyond Particle Swarms and Ants

By Dr. Swagatam Das Chair: István Erlich

Date/Time: 14.30 – 15.30, Tue. 16 April 2013 Venue: Galleria Ballroom Level 3

Session: Swarm Intelligence Algorithms - part 1

Chair: Hong Wei Mo Co-Chair: Jifeng Sun

Date/Time: 15.50 – 17.30, Tue. 16 April 2013 Venue: Paradiso Level 3

SS-0086 An Overview of Cuckoo-Inspired Intelligent Algorithms and Their Applications—Bo Xing, Wen-Jing Gao and

Tshilidzi Marwla

SS-0335 A Spring Oscillator Model Used for Particle Swarm Optimizer—Li Tan and Jifeng Sun

SS-0379 Improved Food Sources in Artificial Bee Colony—Tarun Kumar Sharma, Millie Pant and Chang Wook Ahn

SS-0381 Parameter Investigation in Brain Storm Optimization—Zhi-Hui Zhan, Wei-Neng Chen, Ying Lin, Yue-Jiao Gong,

Yuan-Long Li and Jun Zhang

SS-0883 Solution Clustering Analysis in Brain Storm Optimization Algorithm—Shi Cheng, Yuhui Shi, Quande Qin and

Shujing Gao

Session: Swarm Intelligence Algorithms – part 2 (4 from QCCI)

Chair: Swagatam Das Co-Chair: Alaa Sagheer

Date/Time: 8.30 – 10.10, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0204 A Quantum Neural Network Computes Its Own Relative Phase—Elizabeth C. Behrman and James E. Steck

SS-0819 Pilot Quantum Error Correction for Global-Scale Quantum Communications—Laszlo Gyongyosi

and Sandor Imre

SS-0833 Polaractivation of Hidden Private Classical Capacity Region of Quantum Channels—Laszlo Gyongyosi

SS-1000 Some Properties of Multi-Qubit States in Non-Inertial Frames—Alaa Sagheer and Hala Hamdoun

Session: Particle Swarm Optimization Algorithm

Chair: Quande Qin Co-Chair: Andries Engelbrecht

Date/Time: 10.40 – 12.20, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0179 Clustering Heterogeneous Web Usage Data Using Hierarchical Particle Swarm Optimization—Shafiq Alam,

Gillian Dobbie, Yun Sing Koh and Patricia Riddle

SS-0219 Analysis of Stagnation Behavior of Vector Evaluated Particle Swarm Optimization—W. Matthysen,

A. P. Engelbrecht and K. M. Malan

SS-0293 Particle Swarm Optimization Based Nearest Neighbor Algorithm on Chinese Text Categorization—Shi Cheng,

Yuhui Shi, Quande Qin and T. O. Ting

SS-0294 Cooperative Particle Swarm Optimization in Dynamic Environments—Nikolas J. Unger,

Beatrice M. Ombuki-Berman and Andries P. Engelbrecht

SS-0390 A Load-Rebalance PSO Heuristic for Task Matching in Heterogeneous Computing Systems—

Manitpal S. Sidhu, Parimala Thulasiraman and Ruppa K. Thulasiram

91

IEEE-SIS 2013


IEEE-SIS 2013

IEEE-SSCI 2013: Technical Program

Session: Swarm Intelligence Algorithms – part 3

Chair: Rutuparna Panda Co-Chair: Panigrahi Bijaya Ketan

Date/Time: 13.40 – 14.20, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0145 Design of Two-Dimensional Recursive Filters Using Bacteria Foraging Optimization—Rutuparna Panda,

Manoj Kumar Naik and Niranjan Mishra

SS-0292 BFO-ICA Based Multi Focus Image Fusion—S. Agrawal, S. Swain and L. Dora

Session: Applications of Swarm Intelligence – part 2

Chair: Martin Middendorf Co-Chair: Panigrahi Bijaya Ketan

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Paradiso Level 3

SS-0653 Global Optimization of a Single Inlet T-Junction Cooling System Using Differential Evolution—Mohar Singh,

Ameya Patkar, Millie Pant and Ankit Jain

SS-0720 Self-Organized Cooperation Between Agents that Have to Solve Resource Collection Tasks—Ruby L. V. Moritz

and Martin Middendorf

SS-0781 Simple Probabilistic Population Based Optimization for Combinatorial Optimization—Ying-Chi Lin and

Martin Middendorf

SS-0859 Optimal Location, Size and Protection Coordination of Distributed Generation in Distribution

Network—Manohar Singh, B. K. Panigrahi A. R. Abhyankar, Rohan Mukherjee and Rupum Kundu

SS-0871 Design of PID Controller Based Power System Stabilizer Using Modified Philip-Heffron’s Model: An

Artificial Bee Colony Approach—Bagepalli Sreenivas Theja, Anguluri Rajasekhar, D. P. Kothari and Swagatam Das

Keynote: Learning from Real Ants: Building Robust Ant Algorithms that Always Find the Shortest Path

By Dr. Jayadeva Chair: Yuhui Shi

Date/Time: 11.30 – 12.30, Thu. 18 April 2013 Venue: Lyrebird Level 3

Session: Applications of Swarm Intelligence – part 1

Chair: Jayadeva Co-Chair: Zhen Ji

Date/Time: 13.40 – 15.20, Thu. 18 April 2013 Venue: Paradiso Level 3

SS-0046 Teaching – Learning-Based Optimization Approach for Enhancing Remanufacturability Pre-Evaluation

System’s Reliability—Wen-Jing Gao, Bo Xing and Tshilidzi Marwala

SS-0291 Magnetotactic Bacteria Optimization Algorithm for Multimodal Optimization—Hongwei Mo and Lifang Xu

SS-0254 Migrating Forager Population in a Multi-Population Artificial Bee Colony Algorithm with Modified

Perturbation Schemes—Subhodip Biswas, Souvik Kundu, Digbalay Bose, Swagatam Das, P. N. Suganthan and

B. K. Panigrahi

SS-0352 Optimal Power Flow Using Group Search Optimizer with Intraspecific Competition and Lévy Walk—Y. Z. Li,

M. S. Li, Z. Ji and Q. H. Wu

SS-0361 Bayesian Abductive Inference Using Overlapping Swarm Intelligence—Nathan Fortier, John Sheppard and

Karthik Ganesan Pillai

Posters Date/Time: 9.30 – 16.30, Tue. 16 April 2013 (Foyer Level 4)

SS-0437 Noisy Source Recognition in Multi Noise Plants by Differential Evolution—Pravesh Kumar and Millie Pant

Posters Date/Time: 9.30 – 16.30, Wed. 17 April 2013 (Foyer Level 4)

SS-0587 Distributed Swarm Evacuation Planning—Sabrina Merkel, Sanaz Mostaghim, Daniel Blum and Hartmut Schmeck

SS-0861 Joint Energy and Spinning Reserve Dispatch in Wind-Thermal Power System Using IDE-SAR Technique—

D. Maity, A. Chowdhury, S. Surender Reddy, B. K. Panigrahi, A. R. Abhyankar and M. K. Mallick

92


IEEE-SSCI 2013: Technical Program

IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems

(IEEE T2FUZZ 2013)

Type-1 fuzzy sets have, for more than forty years, laid the basis for a successful method of modelling uncertainty, vagueness

and imprecision. Type-1 Fuzzy Logic Systems (FLSs) have several real world applications and particularly in consumer

products and control applications. It has been argued that the traditional type-1 FLS which uses crisp type-1 fuzzy sets

cannot handle high levels of uncertainties appropriately. Nevertheless it has been shown that a type-2 FLS using type-2

fuzzy sets can handle higher level of uncertainties better and thus produce a better performance. As such, type-2 FLSs are

considered to have the potential to overcome the limitations of type-1 FLSs and produce a new generation of fuzzy systems

with improved performance for many applications which require handling high levels of uncertainty.

This symposium will be made up of two sessions of loosely based around theoretical advances and applications of type-2

system. We hope you find the symposium enjoyable and that you find the contributions presents stimulating and thought

provoking.

Co-Chair(s)

Simon Coupland

De Montfort University, UK

Program Committee

Robert John, University of Nottingham, United Kingdom

Vladik Kreinovich, Uiversity of Texas at El Paso, USA

Jerry Mendel, University of Southern California, USA

Oscar Castillo, Tijuana Institute of Technology, Mexico

Etienne Kerre, University of Gent, Belgium

Woei Wan Tan, National University of Singapore

Leszek Rutkowski, Technical University of Czestochowa

Hongwei Wu, Georgia Institute of Technology, USA

Frank Chung-Hoon Rhee, Hanyang University, Korea

Miguel Melgarejo, Universidad Distrital Francisco José de Caldas,

Colombia

Jon Garibaldi, University of Nottingham, United Kingdom

Particia Melin, Tijuana Institute of Technology, Mexico

Christian Wagner, University of Essex, UK

Faiyaz Doctor, Coventry University, UK

Simon Coupland, De Montfort University, UK

Jethro Shell, De Montfort University, UK

Woei Wan Tan

National University of Singapore, Singapore

Hussam Hamrawi, University of Bahri, Sudan

Qilian Liang, University of Texas at Arlington, USA

Honghai Liu, University of Portsmouth, UK

Shan-Ming Zhou, University of Swansea, UK

Dongrui Wu, University of Southern California, USA

Feilong Liu, Chevron Energy Technology Company, USA

Mohammad Bilgarbegian, University of Waterloo, Canada

William Melek, University of Waterloo, Canada

Hao Ying, Wayne State University, USA

Adam Niewiadomski, University of Lodz, Poland

Okyay Kaynak, Bogazci University, Turkey

Burhan Turksen, University of Toronto, Canada

Huberto Bustince, University of Navarra, Spain

John Rickard, Lockheed Martin Corporation, USA

Sergio Guadarrama, European Center for Soft Computing, Spain

Milos Manic, University of Idaho, USA

Session: Type-2 Fuzzy Sets and Systems I

Chair: Woei Wan Tan Co-Chair: Simon Coupland

Date/Time: 15.50 – 17.30, Wed. 17 April 2013 Venue: Sharma Level 4

SS-0078 Employing an Interval Type-2 Fuzzy Logic and Hesitation Index in a Multi Criteria Group Decision Making

System for Lighting Level Selection in an Intelligent Environment—Syibrah Naim, Hani Hagras

and Aysenur Bilgin

SS-0551 Using Nonstationary Fuzzy Sets to Improve the Tractability of Fuzzy Association Rules—Simon Coupland and

Stephen G. Matthews

SS-0659 Shadowed Type-2 Fuzzy Logic Systems—Dumidu Wijayasekara, Ondrej Linda and Milos Manic

Session: Type-2 Fuzzy Sets and Systems II

Chair: Simon Coupland Co-Chair: Woei Wan Tan

Date/Time: 10.40 – 12.20, Thu. 18 April 2013 Venue: Sharma Level 4

SS-0321 Fuzzistics for Interval Type-2 Fuzzy Sets Using Centroid as Measure of Uncertainty—Maowen Nie

and Woei Wan Tan

SS-0826 Type-2 Fuzzy SARIMA System for Real-Valued Uncertain Non-Stationary Data-Intensive Seasonal Time

Series—Yuying Wang and Robert John

93

IEEE-T2FUZZ 2013


IEEE-T2FUZZ 2013

IEEE-SSCI 2013: Technical Program

SS-0982 An Edge Detection Method Based on Generalized Type-2 Fuzzy Logic—Claudia Gonzalez, Juan R. Castro,

Patricia Melin and Oscar Castillo

SS-0487 Juzzy – A Java based Toolkit for Type-2 Fuzzy Logic – An object-oriented toolkit for the development of

type-1, interval type-2 and general type-2 fuzzy systems—Christian Wagner

94


Aalst, Wil M. P. van der 53

Ababsa, Tarek 32

Abbass, Hussein 73, 84

Abbass, Hussein A. 72

Abdullah, Azma Binti 59

Abdullah, Junaidi 41

Abedini, Mani 54

Abhyankar, A. R. 92

Abhyankar, B. K. Panigrahi A. R. 92

Abraham, Ajith 72

Acampora, Giovanni 80

Adams, Joshua 41

Adebiyi, Ezekiel F. 47

Adetiba, Emmanuel 47

Adewumi, Aderemi Oluyinka 91

Affenzeller, Michael 36

Agrawal, S. 92

Ahmad, Rameez 54

Ahmed, Mohammad Salim 74

Ahmed, S. Shuaib 75

Ahn, Chang Wook 89, 91

Aissanou, Farouk 85

Akkawutvanich, Chaicharn 64

Akram, M. Usman 64

Al-Betar, Mohammed Azmi 70

Al-Ghusain, Adnan 45

Al-Hmouz, Rami 76

Al-Madi, Nailah 54

Al-Rawi, Hasan A. A. 48

Al-Yagoub, Omar 45

Al-shawawreh, Jumana 73

Alam, Sameer 73

Alam, Shafiq 91

Alanbari, Mohammed 46

Alba, Enrique 56

Alcalá, Rafael 78

Aldis, Geoff 73

Ali, Musrrat 89

Aljarah, Ibrahim 90

Alkhayat, Eyad 45

Alrefaie, Mohamed Taher 59

Alshehri, Khaled 45

Alsina, Emanuel Federico 67

Alt, Christian 74

Alty, Jane E. 47

Alvares, Marcos 51

Alzate, Carlos 53

Amarante, Maicon de Brito do 80

Amin, Rubai 72

Anavatti, Sreenatha G. 74

Anbazhagan, S. 59

Anderson, Blake 47

Ando, Kumiko 64

Andrzejak, Artur 52

Author Index

95

Ang, Kai Keng 34, 68

Angelis, Francesco De 36

Angelov, Plamen 73, 74

Anthony, Martin 76

Anvar, Seyed Mohammad Hassan 41

Appleby, Susan 50

Arabas, Jaroslaw 88

Arasomwan, Martins Akugbe 91

Araújo, J. F. 71

Argamon, Shlomo 34

Arif, Atta-Ul-Qayyum 74

Arista-Jalife, Antonio 78

Arita, Takaya 32

Armer, Jane 47

Arock, Michael 40

Aruneshwaran, R. 71

Aryadoust, Vahid 79

Asafuddoula, Md 88

Asham, Mina 54

Ashlock, Daniel 74, 76

Asif, Muhammad Tayyab 72

Asobiela, Stephen 67

Assad, Christopher 81

Assaf, Dan 34

Au, Oscar C. 54

Augsburg, Klaus 58

Auinger, Franz 36

Awadallah, Mohammed A. 70

Awheda, Mostafa D. 29

Ayyagari, Ramakalyan 71

Azam, Sami 49

Azvine, B. 75

Babbitt, Jonathan 38

Babu, S. Ganesh 51

Babuˇska, Robert 29

Backhaus, Andreas 52

Baesens, Bart 54

Baghernezhad, Farzad 44

Bahramy, Farhad 61

Bai, Ruibin 66

Baier, Gerold 33

Bailey, Alexander 67

Bakar, Kamalrulnizam Abu 45

Balamash, Abdullah 76

Balasubramaniam, Karthikeyan 35

Baldassarre, Gianluca 33

Bale, Simon J. 81

Ballinger, Christopher 70

Ballini, R. 61

Bandar, Fiona J. Buckingham Zuhair A. 58

Bandyopadhyay, Sanghamitra 38, 78

Baptista, Tiago 31

Baqer, Mohamed 85


Barakati, S. Masoud 59

Barlow, Michael 32

Barons, Martine J. 46

Barreto, Joo 73

Barroso, Elisa 41

Barry, Steve 73

Basten, Twan 47

Basterretxea, Koldo 56

Bauer, Michael 82

Bayoumi, Ehab H. E. 44

Bazuin, Bradley 73

Bazzan, Ana L. C. 80

Beer, Michael 59

Behrman, Elizabeth C. 91

Bektas, Tolga 66

Belle, Vanya Van 52

Belles-Sampera, Jaume 76

Belohlavek, Radim 75

Beng, Gooi Hoay 35

Bengtsson, Kristofer 47

Bentley, Peter J. 81

Bereczky, B. 32

Bermak, Amine 54

Bernt, Matthias 90

Beluˇsić, Danijel 53

Beshah, Tibebe 72

Bettencourt, Luís M. A. 52

Betting, Benjamin 82

Bhat, Sanjay P. 61

Bhatia, Anil 61

Bhattacharyya, Saugat 34

Bi, Yunrui 72

Bialic-Davendra, Magdalena 89

Bidlo, Michal 81

Biehl, Michael 52

Bilgin, Aysenur 93

Bina, Bahareh 53

Bingham, Derek 53

Binh, Huynh Thi Thanh 59

Biswas, Subhodip 88, 92

Björnsdotter, Malin 39

Blanc, Sylvain Cussat 32

Blaˇzič, Saˇso 73

Bleris, Dimitris G. 72

Blum, Daniel 92

Boaro, Matteo 36

Boerries, Melanie 31

Bolaji, Asaju La’aro 70

Bom, Luuk 30

Bordbar, Behzad 53

Boˇsković, Borko 88

Bose, Digbalay 88, 92

Bose, R. P. Jagadeesh Chandra 53

Bosmany, Peter A. N. 78

Bossomaier, Terry 76

Boström, Henrik 57

Botzheim, János 86

Botzheim, Janos 77

Bouchard, Bruno 47, 53

Bouchard, Kevin 53

Bouchon-Meunier, Bernadette 76

Bouzouane, Abdenour 47, 53

Boyd, Sunny K. 32

Bozorgkhan, Ali 54

Brand, Murray 70

Author Index

96

Brandt, Paul 47

Bravo, Yesnier 56

Brest, Janez 88

Brewer, Andrew 90

Brinkschulte, Uwe 82

Broucke, Seppe K. L. M. vanden 54

Brown, Joseph Alexander 39

Brown, Stephen 59

Brumby, Steven P. 52

Brys, Tim 78

Buck, Andrew R. 83

Buck, Moritz 31

Buenaga, Manuel de 46

Buhari, Seyed Mohamed 49

Bui, Lam Thu 84

Bui, Vinh 47

Buoniu, Lucian 29

Burattin, Andrea 53

Burton, Peter G. 63

Busch, Hauke 31

Busoniu, Lucian 29

Butcher, Robert 73

Butler, Greg 38

Cabri, Giacomo 67

Cagnon, Jos ngelo 45

Cai, Xinye 58

Cai, Yifan 29

Caligiore, Daniele 33

Cambria, Erik 63

Campo, Ins del 56

Cangelosi, Angelo 33, 34

Canizes, Bruno 36

Cao, Nuyun 30

Caraffini, Fabio 83, 88

Carmantini, Giovanni Sirio 32

Carter, Joi 41

Cartes, David 74

Cash, Sydney S. 33

Castanier, Matthew P. 73

Castermans, T. 33

Castillo, O. 78

Castillo, Oscar 61, 78, 79, 90

Castro, Juan R. 78

Caves, Leo S. D. 81

Cazenave, Tristan 69

Chai, Tianyou 59

Chaijaruwanich, Jeerayut 38

Chaisaowong, Kraisorn 64

Chalup, Stephan K. 42, 43

Chan, Tak-Ming 39

Chang, Yun-Tai 43

Chang, Chia-Jui 68

Chang, Huiyou 56

Chang, Jui-Chi 49

Chang, Yao-Sheng 39

Chang, Yu-Kuan 49

Chao, Fei 63

Charara, Ali 58

Charoenkwan, Phasit 38, 40

Chattopadhyay, Paramita 44

Chatzi, Eleni 58

Che, Guo-Lin 69

Chehade, Hicham 67

Chellaboina, Vijaysekhar 61


Chellali, Ryad 86, 87

Chen, Haifen 38

Chen, Angela H. L. 61

Chen, Cheng-Nan 88

Chen, Chih-Chiang 44

Chen, Chih-Yu 34

Chen, Chun-Hao 77

Chen, Denis Guangyin 54

Chen, Guixin 29

Chen, Jianjun 66

Chen, Jie 88

Chen, Jizhi 48

Chen, Mario 58

Chen, Sei-Wang 72

Chen, Senbo 54

Chen, Shanshan 56

Chen, Sheng-Chih 43

Chen, Shi-An 33, 34

Chen, Shu-Ying 38

Chen, Wei-Neng 91

Chen, Wenqin 61

Chen, Yan 58

Chen, Yeh Chuan 46

Chen, Yeou-Jiunn 66, 68

Chen, Yin-Lin 33

Chen, Ying 39

Chen, Ying-ping 83

Chen, Yiran 71

Chen, Zhi-Zhong 39

Cheng, Chen 67

Cheng, Jin 58

Cheng, Shi 91

Cheng, Xu 58

Cheng, Yi-Hsiang 44

Chernikova, Dina 71

Cheron, G. 33

Cheung, Kwan-Yau 39

Cheung, William 60

Chiang, Tsung-Che 88

Chiang, Tung-Sheng 44

Chin, Zheng Yang 34

Chiong, Raymond 54, 67

Chira, Camelia 57

Chitre, Mandar 72

Chiu, Chian-Song 44

Chiu, Ko-Ming 44

Chiu, Ruey Kei 46

Cho, Sung-Bae 86

Chong, Kim Onn 49

Chopra, Shubham 81

Chow, Joe H. 74

Chowdhury, A. 92

Chowriappa, Pradeep 39

Christophe, Benoit 49

Chu, Andrej 48

Chu, Dominique 31

Chu, Fufei 30

Chu, Yan-Bin 83

Chua, T. J. 69

Chuang, Ya-Ting 34

Chung, Hao-Wen 49

Chung, Kon Shing Kenneth 50

Chung, Ren-Hua 40

Ciccio, Claudio Di 53

Clau, Martin 90

Author Index

97

Clavel, C. 43

Clercq, Paul de 47

Cock, Martine De 78

Coello, Carlos A. Coello 84, 85

Cogill, Randy 62

Cohen, Yohai 34

Comerford, Liam A. 59

Congdon, Clare Bates 38

Cordero, Pablo 75

Corne, David 84

Corne, David W. 56

Costa, Ernesto 31

Cotta, C. 76

Cotta, Carlos 43, 76

Coupland, Simon 59, 93

Couso, Inés 77

Coyle, Damien 34

Crandall, Jacob W. 80

Crane, James W. 76

Crawford, Branden 53

Creighton, Doug 35

Crockett, Keeley A. 58

Croft, David 59

Crone, Sven F. 61

Cubeta, J. 33

Cui, Tianxiang 74

Dahlstedt, Palle 43

Dai, Ying 46

Damas, Sergio 64

Dang, Vinh Quoc 38

Daniels, Alexander 29

Das, Swagatam 34, 78, 84, 88, 89, 92

Dasgupta, Dipankar 51

Datta, Aniruddha 38

Dautenhahn, K. 32

Dautenhahn, Kerstin 32

Dauwels, Justin 33, 39, 72

Davendra, Donald 89

Davis, Jeffery Jonathan (Joshua) 33

DeSouza, G. N. 47, 68

Debchoudhury, Shantanab 89

Debie, Essam 57, 89

Defourny, Boris 29

Dembele, Jean Marie 31

Denaxas, Evangelos 72

Deng, Fei 39

Derrac, Joaquín 89

Devaraj, D. 38

Devert, Alexandre 67

Diaz, Alejandro Israel Barragan 68

Diederich, Joahchim 46

Ding, Jinliang 59

Ding, Weiping 54

Dinneen, Michael J. 83

Dionne, Shelley D. 31

Ditzler, Gregory 56

Dizbay, Ikbal Ece 67

Djedi, Noureddine 32

Dobai, Roland 82

Dobbie, Gillian 91

Dobson, Richard 38

Doherty, John 55

Doi, Shigeo 90

Domingo, B. M. 89


Donati, Alessandro 90

Dong, Fei 83

Dong, Liang 73

Dora, L. 92

Dornberger, Rolf 69

Doss, M. M. 54

Dozier, Gerry 41

Dozono, Hiroshi 40

Drugan, Madalina M. 30, 78, 85

Drummond, Tom 36

Dsouza, Hasmitha 66

Dua, Sumeet 39

Duan, Yi 83

Dubitzky, Werner 38

Duc, Gilles 44, 89

Duch, Wlodzislaw 63

Duchene, Fabien 50

Duckham, Matt 53

Duhaut, D. 43

Duthen, Yves 32

Dutoit, T. 33

Dutta, Partha 83

Dutta, S. 35

Duvinage, M. 33

Dworkin, Ian 41

Easton, Adam 32

Echanobe, Javier 56

Eckl, Chris 47

Edelkamp, Stefan 67, 69

Eiben, A. E. 81

Ejigu, Dejene 72

El-Alfy, El-Sayed M. 53

Elish, Mahmoud O. 54

Ellejmi, Mohamed 72

Elmasry, Mostafa A. 54

Eloe, Nathan 65

Elsayed, Saber M. 89

Emami, M. Reza 87

Enciso, Manuel 75

Enembreck, Fabrício 54

Eng, How-Lung 65

Engelbrecht, Andries P. 55, 56, 88, 91

Eo, Kang Yong 86

Erez, Tom 29

Erlich, I. 36

Erlich, István 35, 90

Ernst, Damien 29

Eswaran, Chikkanan 41

Fachantidis, Anestis 34

Fan, Jhe-Wei 33

Fan, Zhun 58

Fang, Chiu-Ping 39

Fang, Chiung-Yao 72

Fang, Xiao 29

Faria, Pedro 35

Farid, Ali Moltajaei 59

Farooq, Kamran 47

Faur, C. 43

Fazzolari, Michela 78

Fei, Xia 40

Felkner, Juliana 58

Fenza, G. 80

Fernández-Leiva, Antonio J. 76

Author Index

98

Fernandes, Carlos M. 43

Fernandez, Dennis 38

Feyel, Philippe 44, 89

Fierro, Resffa 79

Flecker, Benjamin 31

Folly, Komla Agbenyo 35

Fonteneau, Raphael 29

Foroushani, Vahid Aghaei 71

Fortier, Nathan 92

Franklin, L. D. 68

Frieder, Ophir 34

Froese, Tom 31

Fu, Mengyin 44

Fu, Qiming 29

Fuente, Luis A. 81

Fuh, Chyun-Chau 45

Fujimoto, Yasunari 87

Fukuda, Shinji 77

Fukui, Wataru 86

Fuller, Simon 61

Fung, Chun Che 56

Fuselli, Danilo 36

Gácsi, M. 32

Gadher, Bharat 50

Gallagher, John C. 81

Gambardella, L. M. 90

Gao, K. Z. 69

Gao, Kehan 53

Gao, Mingsheng 71

Gao, Shujing 91

Gao, Wen-Jing 58, 91, 92

Gao, Xiaorong 34

García, David 77

García, Salvador 89

Garg, A. 54, 61

Garibaldi, Jonathan M. 50

Garratt, Matthew 74

Gath, Max 67, 69

Gautam, Prajwal K. 36

Gautam, Vinay Kumar 82

Ge, Yao 53, 54

Gedeon, Tom 34

Geiger, Andreas 44

Genest, David 59

Genovese, Angelo 41

Ghosh, Debashis 44

Gianniotis, Nikolaos 54, 57

Glenn, James 76

Glette, Kyrre 81

Goertzel, Ben 63

Gomes, Heitor Murilo 54

Gomez-Ramirez, Eduardo 78

Gomide, F. 61

Gomide, Fernando 77

Gong, Dunwei 56

Gong, Maoguo 83

Gong, Yue-Jiao 69, 91

Gongora, Mario 83

González, Antonio 77

Gonzalez, Jose J. 56

Goss, R. G. 49

Graham, James 63

Granmo, Ole-Christoffer 56

Grantner, Janos 73


Grappiolo, Corrado 32

Greenfield, Gary 32

Greenwood, Garrison W. 81

Griffiths, Frances 46

Groz, Roland 50

Grypma, Peter 38

Guan, Cuntai 34, 68

Guan, Toh Heng 63

Guan, Zhijin 54

Gudwin, Ricardo R. 68

Guha, Ratan K. 50

Guilln, Jos M. Merig Montserrat 76

Guo, Sen 83

Gupta, Shivangi 36

Gyongyosi, Laszlo 91

Haasdijk, Evert 72, 74, 81

Haddow, Pauline C. 82

Hady, Mohamed Farouk Abdel 54

Hagras, Hani 74, 93

Hamdoun, Hala 91

Hammer, Barbara 52

Hamouda, Alaa-Aldine 59

Handa, Hisashi 30

Hanne, Thomas 69

Hansen, Caresse 41

Harrou, Fouzi 43, 53

Hasan, Ali N 59

Hashioka, Aya 64

Hassan, Yomna M. 80

Hasselt, Hado van 67

Hata, Yutaka 64, 87

Hatami, Nima 57

Hauck, Eckart 67

Hayashi, Yoshiaki 86

Hayward, Ross 38

Hazarika, Shyamanta M. 68

He, Haibo 29, 35

He, Ji-Syuan 77

He, Shan 40, 83

Hedar, Abdel Rahman 54

Heidrich, Lukas 58

Helbig, Mard 56

Heller, Gillian 62

Henken, Ruud 30

Hercus, Robert 34

Herremans, Dorien 43

Herrera, Francisco 78, 89

Herzog, Otthein 67

Hingston, Philip 70

Hirota, Shozo 64

Ho, Ing-Kang 39

Ho, Jan-Ming 61

Ho, Kim-Fong 34

Ho, Seng-Beng 63, 80

Ho, Shinn-Ying 34, 38, 40

Ho, Yihsin 87

Hoa, Huynh Thai 34

Hoellinger, T. 33

Hohzaki, Ryusuke 71

Holtschneider, T. 36

Holvoet, Tom 67

Hong, Kenny 42, 43

Hong, Tzung-Pei 77

Höning, Nicolas 36

Author Index

99

Höpping, Kristian 58

Hori, Junichi 68

Hossain, Murad 73

Hverstad, Boye A. 36

Howard, Newton 34, 63, 79

Hsu, Jane 63

Hsu, Ming-Hsiao 49

Hsu, William W. Y. 61

Hu, Jun 33

Hu, Miao 71

Hu, Rong 69

Hu, Xiao-Bing 70, 76

Hu, Xiao-Min 69

Hu, Yao-Xiu 69

Huang, Chih-Sheng 33

Huang, Hui-Ling 34, 38, 40

Huang, Kaizhu 47

Huang, Shell Ying 69

Huang, Yin-Fu 38 54

Huang, Yinghao 53, 54

Huang, Yu-Shin 33

Huang, Yujiao 28

Huang, Zhenhua 29

Hui, Sheldon 89

Hussain, Amir 47, 63

Hussain, Shabbir 73

Hutterer, Stephan 36, 47

Huynh, Thai-Hoang 44

Iacopino, Claudio 90

Ibikunle, Frank A. 47

Ibrahim, Zina M. 38

Ichikawa, Kazuhisha 40

Idri, Ali 54

Iglesias, Jos Antonio 74

Ikegami, Takashi 31, 32

Ilango, P. 51

Imielinski, Tomasz 61

Imre, Sandor 91

Iosifidis, Alexandros 41

Ishibuchi, Hisao 78, 84

Ishida, Takeshi 36

Ishikawa, Tomomoto 64

Ishikura, Reiichi 64

Ismail, Shaik 71

Ito, Noboru 48

Ivanov, Valentin 58

Iwabuchi, Mamoru 68

Iyer, Laxmi R. 63

Izumi, Kiyoshi 60

Jafri, Syed Riaz Un Nabi 87

Jagannathan, S. 28, 29

Jaillet, Patrick 72

Jain, Ankit 92

Jain, Lakhmi 35

Jain, Sourabh 74

Jamieson, D. R. Stuart 47

Jankowski, Norbert 57

Jan, Platoˇs 72, 89

Jat, Mohsin Nasir 67

Javed, M. Younus 64

Jayakumar, T. 75

Jebelli, A. 86

Jenjaroenpun, Piroon 39


Jeschke, Sabina 67

Ji, T. Y. 67

Ji, Z. 92

Ji, Zhen 40, 83

Jian, Sheng Jen 46

Jiang, Dazhi 58

Jiang, Jun 71

Jiang, Min 63

Jiang, Yuhong 81

Jianliang, Wang 71

Jie, Jing 58

Jin, Liangliang 59

Jin, Yaochu 55

Johansson, Ulf 57

John, Robert 93

Johnson, Mikala 29

Ju, Zhaojie 86

Jula, Amin 83

Jumutc, Vilen 53

Jung, Tobias 29

Jung, Ye Ran 86

Kacprzyk, Janusz 63

Kajornrit, Jesada 56

Kakoty, Nayan M. 68

Kalegari, Diego H. 89

Kanagaraj, G. 89, 90

Kannan, Srinivasan 72

Kanavallil, V. 86

Kancherla, Kesav 38, 50

Kang, Yanfei 53

Kanno, Hayato 86

Kao, Ming-Yang 61

Karabulut, Korhan 67 89

Karalekas, Dimitris 59

Karande, Kailash J. 41

Karunananda, A. S. 34

Kasthurirathna, Dharshana 50, 74

Katti, Anurag R. 71

Katupitiya, Jay 45

Kaufmann, Paul 81

Kawarazaki, Noriyuki 68

Kayama, Yoshihiko 31

Ke, Shujing 63

Keller, James M. 42, 83

Kelly, Robert 61

Kelly, Wayne 38

Kendall, Graham 66

Keng, Ang Kai 34

Kennedy, Noel 38

Kenyon, Garrett T. 52

Kester, L. J. H. M. 72

Ketelaere, Bart De 53

Khader, Ahamad Tajudin 70

Khan, Latifur 74

Khan, Salman A. 85

Khan, Shahriar M. 59

Kher, Shubhalaxmi 51

Khorasani, K. 44

Khosravi, Abbas 35

Khosravi, Hassan 54

Kiguchi, Kazuo 86

Kim, Kyung-Joong 86

Kim, Eun-Youn 76

Kim, Si On 86

Author Index

100

King, Robert A. R. 42, 43

Kirby, Stephen 72

Kirley, Michael 54

Kloczkowski, A. 64

Klos-Witkowska, Aleksandra 47

Ko, Li-Wei 33, 34

Koay, K. L. 32

Kobashi, Syoji 64 87

Kobayashi, Futoshi 86

Kobayashi, Ichiro 30

Kobayashi, Shumpei 38

Koh, Tong San 47

Koh, Yun Sing 91

Kojima, Fumio 86

Kolev, Denis 74

Konar, Amit 34, 78

Konar, Pratyay 44

Kong, Hong-Shim 34

Kong, Weijian 59

Koppel, Moshe 34

Kotagiri, Ramamohanarao 53

Kothari, D. P. 92

Kotnik, Toni 58

Kougioumtzoglou, Ioannis A. 59

Kozma, Robert 33

Krajca, Petr 75

Kraus, Thomas 64

Krawczyk, Bartosz 57 64

Krömer, Pavel 72, 89

Kreinovich, Vladik 59

Krishnajith, Anaththa P. D. 38

Kroll, Andreas 44

Kubota, Naoyuki 77, 86

Kubota, Ryosuke 58

Kckens, Marvin 69

Kumar, M. Selva 41

Kumar, G. Hemantha 66

Kumar, P. Ganesh 38

Kumar, Pravesh 92

Kumar, Raj 70

Kumarappan, N. 59

Kumarappan, Narayanan 69

Kundu, Rupam 88, 89

Kundu, Rupum 92

Kundu, Souvik 88, 92

Kuo, Huang-Cheng 39

Kuramoto, Kei 64, 87

Kuramoto, Yohei 58

Kurashige, Kentarou 87

Kurniawan, Marianus Bayu Aji 87

Kuznetsov, Vladimir A. 39

Labati, Ruggero Donida 41

Lacy, Stuart E. 47

Lakatos, G. 32

Lakshika, Erandi 32

Lam, Chiou-Peng 38, 70

Landecker, Will 52

Langner, Felix 52

Langone, Rocco 53

Langseth, Helge 36

Lara-Cabrera, Raúl 76

Last, Mark 34

Lau, Alfred Yong Fu 29

Le, Zhang 57


Ledezma, Agapito 74

Lee, Chang Su 38

Lee, Chung-Hong 76

Lee, Dong Hwan 44

Lee, Donghun 29

Lee, Hua-Chin 34, 38, 40

Lee, Kin-Hong 39

Lee, Victor 39

Leeson, Mark S. 70, 76

Leibbrandt, Richard 79

Lennartson, Bengt 47

Leong, Philip H. W. 61

Leopold, Jennifer 65

Leopold, Jennifer L. 65

Leˇsnik, Marko 88

Lesot, Marie-Jeanne 76

Leung, Kwong-Sak 39

Lewis, Trent 79

Li, Li 58

Li, Bin 83

Li, Changhe 81

Li, Dong 88

Li, Gang 54

Li, Guoqi 54

Li, Hai 71

Li, Jingpeng 74

Li, Liping 83

Li, M. S. 67, 92

Li, Meng 48

Li, Min 83

Li, Mingzhi 53

Li, Tianrui 56

Li, Tsai-Yen 43

Li, Xinyang 34

Li, Y. Z. 92

Li, Yangyang 83

Li, Yifeng 38

Li, Yin 58

Li, Yuan-Long 91

Lian, Ruiting 63

Liang, Hongjing 30

Liang, J. J. 83, 90

Liang, Jui-Hung 72

Liang, Sheng-Fu 33

Liang, Xiaolei 48

Liang, Yew-Wen 44

Liang, Yong 39

Liang, Yun-Chia 61

Liao, Xin-Lan 67

Liaw, Rung-Tzuo 76

Lim, Sei Guan 49

Lin, C. K. Y. 47

Lin, Chin-Teng 33, 34

Lin, Chun-Ling 33

Lin, Heng 54

Lin, Hu 45

Lin, Jih-Yiing 83

Lin, Weisi 54

Lin, Xiaofeng 30

Lin, Yi-Chun 33

Lin, Yi-Hui 68

Lin, Yibin 56

Lin, Ying 69, 91

Lin, Ying-Chi 92

Lin, You-Wei 45

Author Index

101

Lin, Yu-Chieh 88

Lin, Yuzhang 30

Linda, Ondrej 93

Liossis, Emmanuel 58

Liou, Cheng-Yuan 33

Lisboa, Paulo 52

Liu, Bo 69, 83

Liu, Chia-Chien 61

Liu, Chien-Hung 43

Liu, Hai-lin 58

Liu, Hailin 61

Liu, Honghai 86

Liu, Jing-Sin 44

Liu, Jun 44

Liu, Min 69

Liu, Peter 45

Liu, Qingshan 45

Liu, Quan 29

Liu, Shaoying 59

Liu, Sheng-Yi 33

Liu, Yi 53

Liu, Yi Ling 77

Liu, Yu-Li 39

Liu, Zhu 81

Lizier, Joseph T. 31

Lo, Chiao-Shan 72

Lo, Leung-Yau 39

Löfström, Tuve 57

Lohn, Daniel 82

Loia, V. 80

Loiseau, Stphane 59

Lokan, Chris 57, 73, 89

Lon, Rinde R. S. van 67

Lones, Michael A. 47, 81

Longley, Paul 54

Loo, Chu Kiong 87

Lopes, Heitor S. 49, 89

Lotfabadi, Maryam Shahabi 65

Louis, Sushil 70

Louis, Sushil J. 70

Lowe, Robert 30, 42

Lu, Cheng-Yu 61

Lu, Guannan 47

Lu, Xiaobo 72

Ludwig, Simone A. 54, 90

Luerssen, Martin 79

Lughofer, Edwin 73, 74

Lugo-Cordero, Hector M. 50

Luitel, Bipul 36

Luo, Chuan 56

Luo, Xiong 30

Luo, Yanhong 28, 29

Luque, Gabriel 56

Luy, Nguyen Tan 87

Lynn, Nandar 91

Lysanov, Sergey 74

Ma, Hongbin 44

MacQueen, Kathleen M. 58

MacRae, Calum 47

Machan, Jaroslav 58

Maciel, L. 61

Madakyaru, Muddu 44

Madan, Naman 86

Madrid, Nicolás 75


Maduranga, D. A. K. 38

Maeda, Yoichiro 44

Maeno, Hitoshi 87

Maeno, Yoshiharu 61

Maes, Francis 29

Maguire, Phil 61

Maguire, Rebecca 61

Mahanand, B. S. 64

Mahloojifar, Ali 34

Mahmud, Mufti 47

Maio, C. De 80

Maity, D. 92

Malan, K. M. 91

Malik, Hafiz 54

Mallick, M. K. 92

Mallik, Galib Rahaman 71

Mallik, Saurav 38

Mandziuk, Jacek 63

Mani, V. 71

Manic, Milos 93

Maninang, Antonia 38

Mans, Ronny S. 53

Manuguerra, Maurizio 62

Mao, K. Z. 74

Mao, Kun 70

Markarian, Garegin 74

Marmen, Vincent 47

Marrakchi-Kacem, Linda 64

Marsala, Christophe 49, 73

Martínez, María Victoria 56

Martínez, Saúl Zapotecas 85

Martin, J. -C. 43

Martin, T. P. 73, 75

Martnez, Beatriz Peña 46

Maruyama, Norihiro 32

Marwala, Tshilidzi 51, 59, 92

Marwla, Thilidzi 58

Marwla, Tshilidzi 91

Matson, Eric T. 81

Matsumoto, Mariko 68

Matsumura, Yoshiyuki 30

Matsushima, Hirokazu 61

Matthews, Stephen G. 93

Matthysen, W. 91

Maulik, Ujjwal 38, 78

Mayer, Helmut A. 74

Mayr, Sandra 47

McCaugherty, Dan 74

McDonnell, Jack 61

McGeehan, Douglas 65

Mecella, Massimo 53

Meddahi, Amal 86

Medina, Miguel A. 84

Melendez, Abraham 79

Melhem, Hind 38

Melin, Patricia 61, 90

Memariani, Ali 87

Meng, Longlong 83

Meng, Teo Kwong 71

Menon, R. Bharat 35

Menon, Sangeetha B. 35

Merelo, J. J. 76

Merelo, Juan Julián 43

Merheb, R. 59

Merkel, Sabrina 92

Author Index

102

Merrick, Kathryn 57, 89

Meskin, Nader 38

Middendorf, Martin 90, 92

Miklsi, A. 32

Miller, Simon 50

Milne, Marissa 79

Min, Xiang Jia 38

Minarik, Milos 81

Ming, NG Kien 71

Minku, Leandro L. 57

Mishra, Ashutosh 86

Mishra, Niranjan 92

Mishra, Prabhakar 73

Misra, Janardan 32

Mita, Hokuto 87

Mitchell, Melanie 52

Miura, Hironori 87

Miˇzák, Jozef 45

Mizeranschi, Alexandru 38

Mizuta, Takanobu 60

Mo, Hongwei 83, 92

Mo, Sheung Yin Kevin 60

Modi, Chirag N. 50

Moffaert, Kristof Van 30

Mohamed, Ahmed 74

Mohammadi, Raheleh 34

Mohapatra, Saurav 35

Mohd-Isa, Wan-Noorshahida 41

Mohr, Esther 60

Montemanni, R. 90

Mora, A. M. 76

Mora, Antonio 43

Mora, L. 59

Mora, Ángel 75

Morais, Hugo 35, 36

Morfeq, Ali 76

Morgan, David 84

Morinaga, Satoshi 61

Morita, Syuhei 71

Moritz, Ruby L. V. 92

Moser, Philippe 61

Mostaghim, Sanaz 92

Mousavi, Azadeh 53

Moustakas, Nikolaos G. 59

Moutacalli, Mohamed Tarik 47

Moyse, Gilles 76

Mpollas, Savvas 72

Muhaya, Fahad Bin 74

Mukherjee, Rohan 88, 89, 92

Mukhopadhyay, Anirban 38 78

Mukkamala, Srinivas 38, 50

Mundra, Piyushkumar A 38

Munos, Rmi 29

Murase, Kazuyuki 44, 58

Murphey, Yi L. 53

Murphey, Yi Lu 54

Mustafa, Shabbir Kurbanhusen 87

Muyldermans, Luc 67

Mysorewala, Muhammad 45

Nagar, Atulya K. 34, 78

Nahavandi, Saeid 35

Naik, Manoj Kumar 92

Naim, Abd Ghani 49

Naim, Syibrah 93


Nairat, Malik 43

Najemnik, Jiri 29

Nakada, Tomohiro 60

Nakagawa, Kazuya 87

Nakamoto, Hiroyuki 86

Nakamura, Kenryu 68

Nan, Xia 35

Nandakumar, Karthik 41

Naseri, Mahsa 54

Natarajan, A. M. 45

Necsulescu, D. 86

Nedev, Dimitar G. 74

Nedoma, Pavel 58

Nedumaran, D. 41

Nehaniv, Chrystopher L. 32

Neri, Ferrante 83, 88

Neto, Fernando Buarque de Lima 51

Neuman, Yair 34

Newhouse, Stephen 38

Ng, Larry 87

Ngom, Alioune 38

Nguyen, Long 84

Nguyen, Van Tinh 87

Nguyen-Thanh, Nhan 40

Ni, Zhen 29

Nicklin, Steven 42

Nicolescu, Monica 70

Nie, Maowen 93

Niina, Gen 40

Nikolaidis, Nikos 41

Ning, Ning 54

Nishiguchi, Kenji 61

Nishimoto, Keita 32

Nishiyama, Koji 87

Nitschke, G. S. 49, 87

Nojima, Yusuke 78, 84

Nomura, Shun 87

Nordahl, Mats G. 43

Nounou, Hazem N. 38, 43, 44, 45, 53

Nounou, Mohamed N. 38, 43, 44, 45, 53

Nowé, Ann 30

Now, Ann 78

Nuovo, Alessandro Di 34

Nutt, Victor 51

Oberberger, Michael 70

O’Carroll, David C. 65

Ogata, Tetsuya 87

Oh, Beom-Seok 41

Ohkura, Kazuhiro 30

Ohkura, Michiko 47

Ojeda-Aciego, Manuel 75

Oka, Mizuki 32

Okuno, Hiroshi G. 87

Olivas, Evelia Lizárraga 78, 90

Oliveira, Gabriel 36

Oliveira, Pedro 54

Oliver, Gareth 34

Olsher, Daniel J. 63

Ombuki-Berman, Beatrice 67

Ombuki-Berman, Beatrice M. 91

Omkar, S. N. 71

O’Neill, Jade 63

Ong, Ping-Lin 39

Ong, Sim-Heng 34

Author Index

103

Ong, Yew Soon 63

Opara, Karol 88

Orike, Sunny 56

O’Shea, James D. 58

Ostgathe, Martin 67

Ostwald, Michael J. 43

Othman, Zalinda 83

Ouali, Anis 48

Ouazene, Yassine 67

Ouyang, Gaoxiang 86

Ouyang, Jin 67

Ouyang, Ni 81

Overbye, T. J. 35

Overbye, Thomas J. 35

Ow, Ghim Siong 39

Owusu, Gilbert 74

Paddrik, Mark 60

Páez, Diego Gachet 46

Page, Matthew 74

Pai, Harikrishna 67

Pal, Nikhil R. 34

Palacios, Ana Maria 77

Palmer, Phil 90

Palomo, E. 59

Pan, Jengshyang 55

Pan, Quan-Ke 67

Pan, Quanke 70

Pan, Yaozhang 34

Panda, Rutuparna 92

Panigrahi, B. K. 92

Pant, Millie 89, 91, 92

Pantuwong, Natapon 43

Paolo, Ezequiel Di 70, 76

Paraense, Andr L. O. 68

Parisi, Domenico 32

Park, Sooho 87

Parkes, Andrew J. 74

Parsons, Nick 46

Pasha, Syed A. 61

Pashilkar, Abhay A. 71

Passow, Benjamin N. 83

Patel, Dhiren 50

Patkar, Ameya 92

Paukˇst˙e, Andrius 61

Payne, Michael 41

Pazienza, Giovanni E. 78

Pázsit, Imre 71

Peddoju, Sateesh K. 44

Pedrycz, Witold 76

Peng, Chenfeng 58

Pesty, S. 43

Petieau, M. 33

Petrowski, Alain 85

Pham, Minh Tuan 87

Pham, Thuong Cat 87

Pham, Tuan D. 39, 40

Phua, Kok Soon 68

Piazza, Francesco 36

Pilichowski, Maciej 63

Pillai, Karthik Ganesan 92

Pinto, Tiago 35, 73, 79

Piraveenan, Mahendra 50, 74

Pires, Luis Ferreira 47

Pisharady, Pramod Kumar 65


Pitas, Ioannis 41

PiteI’, Ján 45

Pitsianis, Nikos P. 72

Piuri, Vincenzo 41

Plihal, Jiri 58

Poh, Chueh Loo 47, 64

Poh, Kim-Leng 71

Poikolainen, Ilpo 88

Policella, Nicola 90

Polikar, Robi 56

Ponnambalam, S. G. 89, 90

Poojary, Nagesh 66

Poon, Kin Fai 48

Popescu, Mihail 42

Possin, Kate L. 47

Poutr, Han La 36, 67

Powell, Warren B. 29

Powers, David 79

Powers, David M W 63

Prabuddha, Rahal 38

Praa, Isabel 73, 79

Pradeepmon, T. G. 67

Prasasd, Shitala 44

Prasetiono, Eka 87

Pratama, Mahardhika 74

Pravin, K. 59

Proena, Hugo 41

Pundir, S. K. 70

Puttaswamy, M. R. 66

Pyttel, Tobias 67

Prez, Raúl 77

Qi, Yutao 83

Qian, Bin 69, 83

Qianghua, Zhu 40

Qin, Chunbin 28

Qin, Quande 91

Qin, Wei 48

Qu, B. Y. 83, 90

Qu, Can 59

Qu, Rong 66

Quan, Hao 35

Quanhua, Shen 40

Radianti, Jaziar 56

Ragel, Roshan 38

Raghavendra, Parimala 79

Rahimi, Hossein 50

Rahulamathavan, Yogachandran 54

Raif, Paweł 47, 63

Raimbault, Thomas 59

Raizer, Klaus 68

Rajabifard, Abbas 53

Rajarajan, Muttukrishnan 54

Rajasekhar, Anguluri 92

Rajba, Stanislaw 47

Rajba, Teresa 47

Rakshit, Pratyusha 34, 78

Ramadan, Rabie 59

Ramadhani, Farah 45

Ramanathan, Kiruthika 54

Ramezani, Sara 36

Ramirez, Juan M. 84

Ramos, Srgio 79

Rao, B. Purna Chandra 75

Author Index

104

Raphael, Benny 59

Rastegari, Samaneh 70

Ratsaby, Joel 76

Raudys, Aistis 60, 61

Rawat, Sanjay 50

Ray, Tapabrata 88

Raza, Syed Paymaan 54

Reddy, A. V. 40

Reddy, S. Surender 92

Reddy, U. Srinivasulu 40

Ree, Michiel van der 29

Reeth, Eric Van 47 64

Reindl, Thomas 29, 36

Ren, Xuemei 44

Ren, Ye 57

Richier, Jean-Luc 50

Rico, Nuria 76

Riddle, Patricia 91

Riggelsen, Carsten 57

Rivera, Luis A. 68

Rocha, João 54

Rodríguez-Jimnez, Jos Manuel 75

Rohilla, Rajesh 86

Rohmer, Eric 68

Röning, Juha 53

Rosa, Agostinho C. 43

Rose, Garrett S. 71

Rosen, Gail 56

Rosenfeld, Simon 40

Rubio, E. 78

Rueda, Jos L. 35, 90

Rus, Daniela 72

Sánchez, Luciano 77

Sabharwal, Chaman 65

Sabharwal, Chaman L. 65

Sadeghi, Keyvan 63

Saerbeck, Martin 65

Saggioro, Nilton Jos 45

Sagheer, Alaa 91

Saha, Moumita 44

Sakellariou, Christos 81

Salerno, S. 80

Saltukoglu, Deniz 31

Sanchez, Mauricio A. 78

Sanchis, Araceli 74

Sandou, Guillaume 44, 89

Sanqiang, Pan 45

Santamaría, Jos 64

Santos, Gabriel 79

Santos, Gil 41

Saraswathi, S. 64

Sarker, Ruhul 88

Sarker, Ruhul A. 89

Sarlin, Peter 54

Sarshar, Parvaneh 56

Sasikumar, R. 67

Sassi-Hidri, Minyar 54

Savitha, R. 74

Savitski, Dzmitry 58

Sayama, Hiroki 31

Schaefer, Gerald 64

Scheutz, Matthias 32

Schilcher, Kurt 47

Schmeck, Hartmut 92


Schmidt, Gnter 60

Schmidt, Jeffrey 31

Schuff, Norbert 47

Schulte, Oliver 53, 54

Schwartz, Howard M. 29

Scotti, Fabio 41

Secmen, Mustafa 89

Seepanomwan, Kristsana 33

Seiffert, Udo 52

Seifipour, Navid 59

Sekanina, Lukas 81, 82

Sekercioglu, Y. Ahmet 36

Sekercioˇglu, Y. Ahmet 35

Semenov, Konstantin K. 59

Senanayake, Upul 38

Senkerik, Roman 89

Senthilnath, J. 71

Ser, Wee 47

Setiawardhana 87

Shafer, Muhammad Gary 45

Shafi, Kamran 57, 89

Shaker, Ammar 73

Shakya, Sid 74

Shao, Xinyu 59

Sharma, Tarun Kumar 91

Shaw, Fu-Zen 33

Shelton, Joseph 41

Shen, Ye-Shun 49

Sheppard, John 92

Shi, Luping 54

Shi, Minghui 63

Shi, Quan 54

Shi, Wen 47

Shi, Yuhui 91

Shih, Tsung-Chin 34

Shill, Pintu Chandra 44, 58

Shimada, Kenji 87

Shinozaki, Tetsuo 78

Shiratuddin, Mohd Fairuz 65

Shoombuatong, Watshara 38

Shridharan, Sharvari 70

Shuaishuai, Yu 83

Shyrokau, Barys 58

Shyu, Chi-Ren 47

Si, Jennie 30

Sidhu, Manitpal S. 91

Signoretto, Marco 61

Siirtola, Pekka 53

Sil, Jaya 44

Silva, Ivan N. da 45

Silye, Rene 47

Simons, Matias 31

Simpson, Kelly 58

Sinderen, Marten van 47

Singh, Manohar 92

Singh, Mohar 92

Sinha, Arpita 71

Sit, Wing Yee 74

Skaba, Wojciech 63

ˇSkrjanc, Igor 73

Slack, Warner 47

Slotine, Jean-Jacques 33

Smiley, Max 32

Smith, Christopher 55

Smith, Ian F. C. 59

Author Index

105

Smith, Stephen L. 47

Smith-Miles, Kate 53

Snáˇsel, Václav 72, 89

Soares, João 35, 36

Soares, Tiago 35

Sobolewski, Piotr 56

Sofronov, Georgy 62 88

Soga, Sachiko 30

Soliman, Taysir Hassan A. 54

Song, Li Qin 69

Song, H. 83

Song, Insu 46

Song, Ruizhuo 29

Sörensen, Kenneth 43

Soria, Jos 78, 90

Soto, Jesus 61

Sousa, J. B. 71

Sousa, Tiago M. 35, 73

Soysa, Dinuka A. 54

Spanos, Georgios M. 72

Sperduti, Alessandro 53

Squartini, Stefano 36

Srinivasan, Dipti 29, 35, 36, 72

Srinivasulu, Yerukala Sathipati 40

Sriram, S. 61

Starzyk, Janusz A. 63

Steck, James E. 91

Stepney, Susan 81

Strickert, Marc 52

Stuijk, Sander 47

Su, Tung-Ping 33

Subasri, R. 45

Subramanian, K. 74

Suchanek, Renata 47

Suetake, Noriaki 58

Suganthan, P. N. 57, 67, 69, 88, 91, 92

Suganthan, Ponnuthurai N. 89

Sugimoto, Masanori 43

Sujit, P. B. 71

Sulistijono, Indra Adji 87

Sun, Yiwen 83

Sun, Chaoli 55

Sun, Jifeng 91

Sun, Liting 48

Sun, Qiong 70, 76

Sun, Xiaoyan 56

Sun, Zhe 72

Sundararajan, Elankovan 83

Sundararajan, N. 64, 71

Sundararajan, Narasimhan 71

Sunehag, Peter 34

Suresh, Kaliyamoorthy 69

Suresh, S. 45, 64, 71, 74

Suvorov, Mikhail 74

Suykens, Johan A. K. 53, 61

Suzuki, Reiji 32

Swain, S. 92

Syed, Aqeel Raza 47

Syrdal, D. S. 32

Tachibana, Ryuichi 87

Tai, K. 54, 61

Takada, Kohei 78

Takadama, Keiki 60

Takase, Noriko 86


Takenawa, Satoru 86

Talau, Marcos 49

Tambouratzis, Tatiana 59, 71

Tamura, Kaori 86

Tan, Ah-Hwee 29

Tan, Cher Heng 64

Tan, K. C. 33

Tan, Li 91

Tan, Woei Wan 93

Tan, Yuejin 67

Tang, Dalai 77

Tang, Huajin 33

Tang, Jiangjun 72

Tang, Ke 53, 83

Tang, Yufei 35

Tani, Massimiliano 62

Tariq, Anam 64

Tasgetiren, M. Fatih 67, 70, 89

Tassa, Yuval 29

Taylor, Peter N. 33

Tefas, Anastasios 41

Teng, Teck-Hou 29

Teoh, Eam Khwang 41

Terashima, Yoshiharu 71

Teytaud, Fabien 69

Tham, Ivan WK 64

Thanh, Nguyen Thien 87

Thedchanamoorthy, Gnanakumar 74

Theja, Bagepalli Sreenivas 92

Theodorou, Evangelos A. 29

Theofilis, Konstantinos 32

Thiery, Jean Paul 39

Thiruvarudchelvan, Vaenthan 76

Thompson, Jeffrey A. 38

Thompson, Paul 38

Thomure, Michael D. 52

Thorogood, Margaret 46

Thulasiram, Ruppa K. 91

Thulasiraman, Parimala 91

Tiˆno, Peter 53

Tian, Jing 65

Tian, Yu-Chu 38

Tibarewala, D. N. 34

Tidemann, Axel 36

Ting, Chuan-Kang 43, 49, 67, 76

Ting, T. O. 91

Tivatansakul, Somchanok 47

Toan, Tran Kim 59

Todorov, Emanuel 29

Todorov, Emo 29

Togelius, Julian 32

Toh, Kar-Ann 41

Toklu, N. E. 90

Tolkamp, S. M. 87

Tong, Chaonan 48

Tong, Kwok-Kit 39

Tran, Thuan Hoang 87

Trefzer, Martin A. 81, 82

Tri, Hoang Minh 87

Tsai, Hsun-Heng 45

Tsai, Shu-Fang 34

Tsang, Herbert H. 38

Tsou, Hsiao-Huei 39

Tsuruta, Setsuo 78

Tuah, Nor Jaidi 49

Author Index

106

Tuan, Chao-I 33

Tummel, Christian 67

Turner, Alexander P. 81

Turner, Jonathan 41

Twala, Bhekisipho 59

Tyrrell, Andy 81

Tyrrell, Andy M. 81, 82

Uchino, Eiji 58

Uddin, Shahadat 50

Ueda, Yoshiaki 58

Ueng, Fang-Biau 49

Unger, Nikolas J. 91

Uniyal, Rajesh 86

Valdez, Fevrier 78, 79

Vale, Zita 35, 36, 73, 79

Valsecchi, Andrea 64

Vanthienen, Jan 54

Vasicek, Zdenek 81

Vasilakos, Athanasios V. 88, 89

Veluru, Suresh 54

Veluscek, Marco 53

Venayagamoorthy, G. Kumar 74

Venayagamoorthy, Ganesh K. 36

Venayagamoorthy, Ganesh Kumar 35, 36

Venugopalan, T. K. 71

Vernay, Didier Gabriel 59

Vialatte, Franois Benot 39

Victorino, Alessandro 58

Vij, Nikhil 39

Vijay, S. Arul Antran 38

Villmann, Thomas 52

Virgo, Nathaniel 31

Viswanath, P. 54

Viswanathan, Anirudh 73

Vitiello, Autilia 80

Vitsios, Dimitrios 72

Vlahavas, Ioannis 34

Vong, John 46

Vychodil, Vilem 75

Wada, Nanami 30

Wagarachchi, N. M. 34

Wai, Rong-Jong 45

Wakata, Yuki 64

Waldock, Antony 84

Waledzik, Karol 63

Walker, James Alfred 81, 82

Walla, Peter 42

Walters, M. L. 32

Wan, Jing 69

Wang, Bin 58

Wang, Chuanchu 34, 68

Wang, Danwei 58

Wang, Debby D. 39

Wang, Dingjie 63

Wang, Jian 29

Wang, Jian-Gang 41

Wang, Jian-Rong 83

Wang, Jiandong 54

Wang, Juan 83

Wang, Kuo-Chin 44

Wang, Ling 44, 69

Wang, Lipo 54


Wang, Lusheng 39

Wang, Ming 70, 76

Wang, Penghao 38

Wang, Qiang 58

Wang, Rui 53

Wang, Sheng-Chang 39

Wang, Shengyao 44, 69

Wang, Shuo 57

Wang, Wanliang 58

Wang, Xiaoyang 56

Wang, Yu-Kai 33

Wang, Yu-Lin 33

Wang, Yujiang 33

Wang, Yuying 93

Wang, Zhanshan 30

Watkins, Oliver 63

Watson, Neville 35

Weber, Philip 53

Weel, Berend 81

Weerdt, Jochen De 54

Wei, Kuai 83

Weise, Thomas 54, 67

Wen, Jinyu 35

Widergren, Steve 74

Wiederman, Steven D. 65

Wiedermann, Jiˇrí 63

Wiering, Marco 29, 30

Wijayasekara, Dumidu 93

Wilkmann, Christoph 64

Wille, Emilio C. G. 49

Williams, Henry 41

Williams, Neil 49

Williams, Paul L. 31

Willigen, W. H. van 72

Wilson, Susan R. 38

Wolf, Michael T. 81

Wolters, Philipp 67

Wong, Aaron S. W. 42

Wong, Kok Wai 56, 65

Wong, Man-Leung 39

Wong, Maria 39

Wong, Voon Siong 35, 36

Wong, Yung Fei 35, 36

Woods, Michael R. 45

Woodward, John R. 74

Wo´zniak, Michał 56, 57

Wo´zniak, Michal 64

Wu, Chun-Wei 34

Wu, Chun-Yen 76

Wu, Jiunn-Liang 66, 68

Wu, Q. H. 67, 92

Wu, Qing 71

Wu, Shang-Lin 34

Wu, Shao-You 44

Xian, Ow Yi 72

Xiang, Gang 59

Xiao, Fei 29

Xiao, Wendong 29

Xin, Bin 88

Xing, Bo 58, 91, 92

Xing, Lining 67

Xiong, Yi 53

Xu, Hao 28, 29

Xu, Jianxin 72

Author Index

107

Xu, Juan-Juan 83

Xu, Lifang 92

Xu, Sendren Sheng-Dong 44

Xu, Wenyi 49

Xu, Xin 29

Xu, Xinli 58

Xu, Ye 44, 69

Xu, Zhiming 34

Xu, Zhiwei 53

Yager, R. 61

Yagoub, M. C. E. 86

Yalaoui, Alice 67

Yalaoui, Farouk 67

Yamaguchi, Toru 77, 87

Yamamoto, Yukiko 78

Yamane, Masakazu 84

Yan, Hong 39

Yang, Chang-En 45

Yang, Dongsheng 28

Yang, Guang 68

Yang, Hsin-Chang 76

Yang, Hui-Mei 68

Yang, Junshan 40

Yang, Lei 45

Yang, Peipei 47

Yang, Shengxiang 59

Yang, Simon X. 29

Yang, Steve 62

Yang, Steve Y. 60

Yang, Wen-Tsung 44

Yang, Yongsheng 54

Yang, Yuxin 47

Yang, Zhenyu 67

Yannakakis, Georgios N. 32

Yao, Xin 57, 83

Yaros, John Robert 61

Yasuda, Toshiyuki 30

Yau, Kok-Lim Alvin 47, 48

Yau, Wei-Yun 41

Ye, Ren 57

Yellowlees, Peter 46

Yen, Nguwi Yok 46

Yeo, Kheng Cher 49

Yi, Yang 56

Yogeswaran, M. 90

Yoshimura, Shinobu 60

You, Zhu-Hong 83

Yousefi, Bardia 87

Yu, Dingli 72

Yu, Gino 63

Yu, Wei-Jie 69

Yu, Yang 63

Zabala, Silvestre 52

Zadro˙zny, Slawomir 63

Zaeh, Michael F. 67

Zahi, Azeddine 54

Zaman, Kais 59

Zare, Alina 42

Zauner, Gerald 47

Zeng, Anping 56

Zeng, Jianchao 55

Zeng, Sanyou 48, 81

Zhai, Yujia 72


Zhan, Yang 67

Zhan, Zhi-Hui 69, 91

Zhang, Lining 54

Zhang, Chaoyong 59

Zhang, Huaguang 28, 30

Zhang, Jing 58

Zhang, Jun 69, 91

Zhang, Junbo 56

Zhang, Le 57

Zhang, Rui 67

Zhang, Yanru 83

Zhang, Yong 56

Zhang, Yongshan 48

Zhang, Youyun 54

Zhao, Dongbin 29

Zhao, Qiming 28

Zhao, Xinjie 72

Zhao, Yan 45

Zhao, Yanwei 58

Zhao, Yongjian 65

Zhe, Xu 45

Zhen, Jiguo 87

Author Index

108

Zheng, Huiru 38

Zheng, Jie 38

Zheng, Liaomo 45

Zheng, Pujie 34

Zheng, Xiuping 59

Zhong, Mingyuan 29

Zhou, Changle 63

Zhou, Longjiang 68

Zhou, Weiqiang 39

Zhou, Yuan 61

Zhou, Yuchao 30

Zhu, Hao 35

Zhu, Yongsheng 54

Zhu, Zexuan 40, 83

ˇZidek, Kamil 45

Ziemke, Tom 30, 42

Zincir-Heywood, A. Nur 50, 71

Zoidi, Olga 41

Zolotas, Christoforos 72

Zuo, Zhengrong 65

Zuobin, Wu 39


Abbass, Hussein 84

Acampora, Giovanni 80

Alcalá, Rafael 77

Andries, Engelbrecht 55

Andrzejak, Artur 53

Ang, Kai Keng 12, 34(3 Times)

Ann, Cheong Siew 70, 71

Backhaus, Andreas 53

Bandyopadhyay, Sanghamitra 27, 78(2 Times)

Bayoumi, Ehab 44

Bazzan, Ana L. C. 80

Beer, Michael 17, 59

Bektas, Tolga 66

Bentley, Katie 31

Biehl, Michael 52, 53

Bossomaier, Terry 32

Botzheim, Janos 87

Bouchon-Meunier, Bernadette 20, 74

Brest, Janez 88

Burattin, Andrea 53

Busuniu, Lucian 29

Cambria, Erik 47, 79

Castillo, Oscar 90

Chalup, Stephan 43

Chan, Chee Seng 87

Chawla, Nitesh 52, 53

Chen, Shu-Heng 17, 18, 60, 61(5 Times)

Chen, Ying-ping 83

Chiang, Jung-Hsien 12, 39

Chiong, Raymond 66, 67(2 Times)

Chiu, Chian-Song 44

Congdon, Clare Bates 38

Cordero, Pablo 75(2 Times)

Corne, David 56, 84

Cotta, Carlos 76(2 Times)

Coupland, Simon 93(2 Times)

Coyle, Damien 34(2 Times)

Crandall, Jacob W. 80

Dahlstedt, Palle 43

Damodaran, Nedumaran 41

Das, Swagatam 22, 85, 88, 89(2 Times), 91

Dasgupta, Dipankar 15, 50, 51

Dauwels, Justin 20, 33, 72(4 Times)

Davis, Joshua 33

Devert, Alexandre 67

Doi, Shigeo 90

Dornberger, Rolf 69

Dozier, Gerry 50

Duch, Wlodzislaw 27, 63

Chair Index

109

Engelbrecht, Andries 16, 55, 91

Erlich, István 22, 36, 91

Erlich, Istvan 36

Fei, Xia 39

Franco, Leonardo 76(2 Times)

Gallagher, J. C. 82

Gao, Mingsheng 71

Ge, Shuzhi Sam 68

Goertzel, Ben 63

Gong, Dun-Wei 56

Gong, Maoguo 83

Gudwin, Ricardo 68

Guha, Ratan 50

Haddow, P. C. 81

Hammer, Barbara 15, 21, 52, 54, 84

Handa, Hisashi 30

Harrou, Fouzi 43

He, Haibo 24, 29, 35, 36

Hercus, Robert 34

Ho, Seng-Beng 80

Ho, Shinn-Ying 38

Hohzaki, Ryusuke 71

Howard, Newton 47

Huang, Yin-Fu 38

Hussain, Amir 14, 46(2 Times)

Iglesias, Jose 74

Ishibuchi, Hisao 84

Ito, Noboru 48

Jankowski, Norbert 57

Jayadeva 92

Ji, Zhen 92

Jin, Y. 56

Jin, Yaochu 56, 57

John, Vong 46

Jung, Tobias 29

Karande, Kailash J. 41

Katupitiya, Jayantha 45

Kaymak, Uzay 60, 61(3 Times)

Keller, James 23

Keng, Ang Kai 68

Ketan, Panigrahi Bijaya 92(2 Times)

Khorasani, Kash 43

Kiguchi, Kazuo 86, 87

Kobashi, Syoji 64(2 Times)

Kobayashi, Futoshi 86, 87

Kobayashi, Ichiro 30


Kolev, Denis 74

Kreinovich, Vladik 17, 58

Kubota, Naoyuki 22, 86, 87(2 Times)

Kumaraguru, P. 51

Kumarappan, N. 36

Kuznetsov, Vladimir A. 39

Labati, Ruggero Donida 41

Lässig, Jörg 67

Lee, Victor 39

Lesot, Marie-Jeanne 42

Liang, Jing 83, 90

Liang, Sheng-Fu 33

Lisboa, Paulo 19, 65

Liu, Honghai 86

Liu, Yu-Li 39

Lizier, Joseph 32

Loo, Chu Kiong 87

Ludwig, Simone 25

Madakyaru, Muddu 44

Mahmud, Mufti 47

Mandziuk, Jacek 63

Mańdziuk, Jacek 18(2 Times), 26, 62, 63(2 Times)

Marsala, Christophe 49, 73

Martin, Jean-Claude 43

Martin, Trevor 74

Martins, Henrique 15, 47(2 Times)

Mei, Yi 67

Melin, Patricia 78(2 Times)

Middendorf, Martin 92

Mo, Hong Wei 91

Mukkamala, Srinivas 51

Murphey, Yi Lu 53

Mysorewala, Muhammad 45

Namatame, Akira 70, 71

Nehaniv, Chrystopher 11, 31(3 Times)

Neri, Ferrante 27, 83, 88, 89

Neuman, Yair 33, 34

Ngom, Alioune 38

Nitschke, Geoff 49

Nojima, Yusuke 77(2 Times)

Nounou, Hazem 44

Oberberger, Michael 71(2 Times)

Ojeda-Aciego, Manuel 75(2 Times)

Ong, Yew Soon 83

Overbye, Tom 35

Pal, Nikhil R 23

Pan, Quanke 69

Panda, Rutuparna 92

Park, Jung-Wook 35

Pedrycz, Witold 26

Pham, Tuan 13(2 Times), 39(2 Times)

Pitas, Ioannis 41

Polikar, R. 56

Polycarpou, Marios 24

Powers, David 20, 57, 80

Principe, Jose 24

Prokopenko, Mikhail 31

Chair Index

110

Qin, Quande 91

Qu, Rong 69

Raif, Pawel 47(2 Times)

Rivera, Luis 68

Rueda, Jose 36

Sabharwal, Chaman L. 65(2 Times)

Sagheer, Alaa 91

Santos, Gil 41

Sarangapani, Jagannathan 28

Sarker, Ruhul 89

Sayama, Hiroki 11, 25, 32(3 Times)

Schulte, Oliver 54

Sekanina, L. 81

Shi, Yuhui 23, 92

Sinderen, Marten van 46

Skaba, Wojciech 63

Skrjanc, Igor 73

Sperduti, Alessandro 53

Srinivasan, Dipti 35, 72

Starzyk, Janusz 63

Subasri, Ramaiah 45(2 Times)

Sun, Jifeng 91

Suresh, Sundaram 12, 14, 19, 33, 44, 71

Tan, Woei Wan 93

Tang, Ke 17, 57

Tasgetiren, Fatih 88, 89

Tasgetiren, M. Fatih 67

Theodorou, Evangelos 29

Thorogood, Margaret 46

Ting, Chuan-Kang 43, 48

Toh, Kar-Ann 13, 41

Trefzer, M. A. 81

Tyrrell, A. M. 81

Tyrrell, Andy 21, 81

Vale, Zita 79

Valsecchi, Andrea 64(2 Times)

Venayagamoorthy, Ganesh Kumar 12, 24, 35(3 Times)

Wang, Jian-Gang 41

Wang, Ling 69

Wang, Lusheng 39

Weise, Thomas 67

Wiering, Dr Marco 10, 11, 29(3 Times)

Wong, Man-Leung 38, 39

Wozniak, Michal 57

Xu, Sendren Sheng-Dong 44(2 Times)

Xu, Xin 29

Xu, Zhiwei 53

Yan, Hong 25

Yao, Xin 8, 57, 58

Zhang, Huaguang 28

Zhang, Rui 67

Zheng, Huiru 38

Zheng, Jie 38

Zhou, Zhi-Hua 16, 53

Zhu, Zexuan 21, 83(2 Times)

Zincir-Heywood, A. Nur 50


Notes


Notes


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91. The Society is creating new chapters all over the world. If you

are interested in building a new IEEE CIS chapter please visit our

website http://cis.ieee.org/chapters or contact us.

Women in Computational Intelligence (WCI):

WCI is a Sub-Committee that promotes, organizes and runs activities

directed to ensure equal opportunities for both genders in the

Society's life and in the CI arena. Would you like to help build a strong

WCI-Community? Send your contributions to the WCI Sub-Committee

Chair. Visit http://cis.ieee.org/wci to find out more

Distinguished Lecturers Program (DLP):

The DLP promotes knowledge dissemination by providing

distinguished lecturers to Chapter events.

Visit http://cis.ieee.org/dlp to find out more.

Regional Ambassador Program (RAP):

The RAP initiative aims to foster cooperation between and among CIS

Chapters within the same IEEE region, in order to organize visits of

regional ambassadors (RAs). Visit http://cis.ieee.org/rap.

Follow us on:

Facebook (facebook.com/IEEE.CIS), Twitter (twitter.com/ieeecis),

LinkedIn (tinyurl.com/ieeecislinkedin),

Second Life (tinyurl.com/cis2ndlife), Blog (ieee-cis.blogspot.com)

Industry Liaison:

CIS strives to develop and promote activities directed to increase the

involvement of industries and professionals in the computational

intelligence arena. Visit http://cis.ieee.org/industry to find out more.

11-TA-0302 8/11

Join the IEEE Computational Intelligence Society | http://www.cis.ieee.org/join

Contact us: Jo-Ellen B. Snyder, Sr. Administrator, IEEE CIS, (P) 1-732-465-7892 (E) j.e.snyder@ieee.org


http://ieee-cis.org/pubs/

IEEE Computational Intelligence Society Publications

IEEE Computational Intelligence Magazine –

http://ieee-cis.org/pubs/magazine/

This magazine aims to introduce the readers to all areas of computational intelligence design and

applications, with specific emphasis on applications oriented developments, successful industrial

implementations, design tools, technology reviews, computational intelligence education, and applied

research. The Magazine has a broad readership, reaching all CIS members as part of the membership benefits.

Impact Factor: 2.535, ranked in the top 20 Computer Science journals.

IEEE Transactions on Computational Intelligence and AI in Games –

http://ieee-cis.org/pubs/tciaig/

The journal has a broad scope and publishes high quality papers on all aspects of computational intelligence

and artificial intelligence related to games. New journal established in 2009. The journal is co-sponsored by

the IEEE Computational Intelligence Society, the IEEE Computer Society, the IEEE Consumer Electronics

Society and the IEEE Sensors Council. It is technically co-sponsored by the IEEE Systems, Man, and

Cybernetics Society, the IEEE Instrumentation and Measurement Society, the IEEE Robotics and Automation

Society, and the IEEE Communications Society.

IEEE Transactions on Autonomous Mental Development –

http://ieee-cis.org/pubs/tamd

This journal is devoted to the science and technology of Autonomous Mental Development, a

multidisciplinary research field across computational intelligence, cognitive science, neuroscience, and

robotics. It studies the mental development process during which a brain-like natural or artificial embodied

system, under the control of its intrinsic species-specific developmental program, develops mental capabilities

through its real-time interactions with its environment (including the brain’s own internal environment) using

its own sensors and effectors. The mental capabilities that develop in this way include, but not limited to,

perceptual, cognitive, behavioral, and motivational capabilities. New journal established in 2009. The journal

is co-sponsored by the IEEE Computational Intelligence Society and the IEEE Consumer Electronics Society. It

is technically co-sponsored by the IEEE Computer Society, the IEEE Engineering in Medicine and Biology

Society, and the IEEE Robotics and Automation Society.

IEEE Transactions on Neural Networks† –

http://ieee-cis.org/pubs/tnn/

This journal is devoted to the science and technology of neural networks, which disclose significant technical

knowledge, exploratory developments, and applications of neural networks from biology to software to

hardware. Emphasis is on artificial neural networks. Impact Factor 3.726, ranked in the top four Computer

Science journals and top 10 in the Electrical & Electronic Engineering journals.

IEEE Transactions on Evolutionary Computation† –

http://ieee-cis.org/pubs/tec/

This journal is devoted to the theory, design and applications of evolutionary computation, with emphasis

given to engineering systems and scientific applications. Impact Factor 3.736, ranked in the top three

Computer Science and Electrical & Electronic Engineering journals.

IEEE Transactions on Fuzzy Systems† –

http://ieee-cis.org/pubs/tfs/

This journal is devoted to the theory, design and applications of fuzzy systems, ranging from hardware to

software. Emphasis will be given to engineering applications. Impact Factor 3.624, ranked in the top five

Computer Science journals and top 11 in the Electrical & Electronic Engineering journals.

IEEE Press Books - Computational Intelligence Series –

http://ieee-cis.org/pubs/books/

The IEEE Computational Intelligence Society sponsors a book series on computational intelligence that is

published by IEEE Press/Wiley. The book series seeks to publish high quality monographs, texts, and edited

volumes on topics within the scope of the society. New publications are always solicited.

Additionally, IEEE CIS co-sponsors the following other titles; the IEEE/ACM Transactions on

Computational Biology and Bioinformatics, the IEEE Transactions on Nanobioscience, the IEEE

Transactions on Information Forensics and Security, IEEE Transactions on Smart Grid, and the IEEE

Transactions on Affective Computing.

† Ranked in the top 10 of ALL IEEE transactions and journals by Impact Factor.


General Chair:

Steven Corns (USA)

Program Chair:

De-Shuang Huang (China)

Technical Co-Chairs:

Sansanee Auephanwiriyakul -

Fuzzy Systems (Thailand)

Madhu Chetty – Evolutionary

Computation (Australia)

Francesco Masulli –Special

Approaches (Italy)

Roberto Tagliaferri – Neural

Networks (Italy)

Finance Chair:

Wendy Ashlock (Canada)

Local Arrangements Chair:

David Fogel (USA)

Tutorials Chair:

Dan Ashlock (Canada)

Proceedings Chair:

Jennifer Leopold (USA)

Publicity Chair:

David Corne (UK)

Web Chair:

Elizabeth Cudney (USA)

Poster Session Chair:

Kay Wiese (Canada)

Special Session Chair:

Sheridan Houghten (Canada)

Important Dates

Special session proposals:

October 11, 2013

Paper Submission Deadline:

November 15, 2013

Paper acceptance:

February 14, 2014

IEEE Conference on Computational Intelligence

in Bioinformatics and Computational Biology

May 21-24, 2014, Hilton Hawaiian Village, Honolulu, HI

Call for Papers

The 11 th annual IEEE Computational Intelligence in Bioinformatics and Computational Biology

Conference will bring together top researchers, practitioners, and students from around the world to

discuss the latest advances in the field of Computational Intelligence and its application to real world

problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and

related fields. Computational Intelligence approaches include artificial neural networks and learning

systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques. Topics

of interest include but are not limited to:

Gene expression array analysis

Structure prediction and folding

Molecular sequence alignment and analysis

Metabolic pathway analysis

RNA and protein folding and structure prediction

Analysis and visualization of large biological data sets

Motif detection

Molecular evolution and phylogenetics

Systems and synthetic biology

Modeling, simulation, and optimization of biological systems

Robustness and evolvability of biological networks

Emergent properties in complex biological systems

Ecoinformatics and applications to ecological data analysis

Medical imaging and pattern recognition

Medical image analysis

Biomedical data modeling and mining

Treatment optimization

Biomedical model parameterization

The use of computational intelligence must play a substantial role in submitted papers. Submissions will

be peer reviewed and accepted papers will be published in the conference proceedings and will be

indexed in IEEE Xplore. Selected papers after a substantial extension will be considered for publication

in journal special issues.

Submission Procedure

Prospective authors are invited to submit papers in IEEE format, including results, figures, and

references. Accepted papers longer than eight pages will have an additional per page charge. Submission

details can be found at: http://www.cibcb.org.

For additional information, contact the General Chair, Steven Corns, Engineering Management and

Systems Engineering Department, Missouri University of Science and Technology, Rolla, MO. Email:

cornss@mst.edu.

More information at: http://www.cibcb.org


General Chair:

Antoaneta Serguieva, Univ.

College London, and

Bank of England, UK

IEEE CIFEr 2014

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

27 – 28 March 2014, London

Program Chair:

Dietmar Maringer, Univ. Basel,

and Univ. Geneva, Switzerland

Keynote and Tutorials Chair:

Uzay Kaymak, Eindhoven

Univ. Technology, Netherlands

Publication Chair:

Berc Rustem, Imperial College,

UK

Publicity Chair:

Jingya Yun, Credit Suisse, UK

Treasurer:

Dawn Bailey, Univ. College

London, UK

IEEE CIS Computational

Finance and Economics

Technical Committee

Representatives:

-

Uzay Kaymak (Chair),

Eindhoven Univ. Technology,

Netherlands

Chenghui Cai (Vice Chair),

MQT Investments, USA

Akira Namatame (Vice Chair),

National Defence Academy,

Japan

Dirk Van den Poel (Vice Chair),

CALL FOR

PARTICIPATION

The CIFEr Conference is the major collaboration between the professional

engineering and financial communities, and is one of the leading forums for

new technologies and applications in the intersection of computational

intelligence and financial engineering and economics.

Keynotes Speakers:

Highlights

Michael Dempster Founder, Centre for Financial Research,

University of Cambridge, and Director, Cambridge Systems

Associates, UK

J Doyne Farmer Professor of Mathematics and Co-Director of

Coplexity Economics, Institute for New Economic Thinking,

Oxford Martin School, University of Oxford, UK

Industry Aligned Tutorials and Sessions:

Systemic Risk Identification, Modelling and Monitoring

Chairs: Kevin James, Senior Advisor, Bank of England, UK

Antoaneta Serguieva, UCL and Bank of England, UK

Functional Elegance with F# for Financial Computing

Chairs: Don Syme, Principle Researcher, Microsoft Research, UK

Diego Colombo, Citigroup, UK

Panel Discussion:

Market Surveillance, Operation and Oversight in Algo Trading

Moderator: Ken Yeadon, Thematic Capital Partners, UK

Affiliated Event:


Spring School in Computational Finance and Economics

24-26 March, 2014: University College London, UK

Important Dates

Ghent Univ., Belgium Special Session Proposal : 1 June, 2013

Paper Submission: 1 November, 2013

London Venue:

Credit Suisse, UK

Notification of Acceptance: 7 January, 2014

Final Paper Submission: 7 February, 2014

Early Registration: 7 February, 2014

Conference Dates: 27-28 March, 2014

Honorary Chairs:

Ronald R. Yager,

Iona College, USA

Robert Golan, DBmind

Technologies, USA

Honorary Program Committee:

John Birge, Univ. Chicago, USA

Piero Bonissone, General Electric

GRC, USA

Bernadette Bouchon-Meunier,

Univ. Denis Diderot, France

Mark Broadie, Columbia Univ.,

USA

Peter Carr, New York Univ., and

Morgan Stanley, USA

Michael Dempster, Univ.

Cambridge, and CSA, UK

J Doyne Farmer, Univ. Oxford, UK

David Fogel, Natural Selection

Inc, USA

Andrew Lo, MIT, USA

John Moody, ICSI, Berkeley,

and JEMoody&Company, USA

William Shaw, Univ. Colege

London, and Winton Capital, UK

Philip Treleaven, Univ. College

London, UK

Edward Tsang, Univ. Essex, UK

Xin Yao, Univ. Birmingham, UK

Webmasters:

Rui Almeida, Erasmus Univ.

Rotterdam, Netherlands

Vytautas Savickas, Univ. College

London, UK

Website:

http://www.ieee cifer.org/


www.tandfonline.com/r/compsci

om/r/compsci

IEEE Conference on Computational Intelligence

in Bioinformatics and Computational Biology

May 21-24, 2014, Hilton Hawaiian Village, Honolulu, HI

IEEE CIFEr 2014

IEEE Conference on Computational Intelligence for Financial Engineering & Economics

27 – 28 March 2014, London

CALL FOR

PARTICIPATION

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