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Technical Sessions – Monday July 11

Technical Sessions – Monday July 11

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HA-14 IFORS 20<strong>11</strong> - Melbourne<br />

Six year experience and results of introduction OR disciplines in Summer<br />

School AACIMP (http://summerschool.ssa.org.ua/) will be in the scope of this<br />

talk. Each year courses on optimization and other OR branches in form of<br />

interactive lectures, workshops are conducted. Besides, they are accompanied<br />

by presentations of current IFORS, EURO events. Collaboration between<br />

Ukrainian scientific community and international one, growing interest to the<br />

OR education, increasing number of Ukrainian participants in OR events are<br />

among the positive effects for the Ukrainian OR-community.<br />

3 - The User-centered Aspect of R&D<br />

Catherine Decouttere, Katholieke Universiteit Leuven Campus<br />

Kortrijk, Flanders InShape, E. Sabbelaan 51, B-8500, Kortrijk,<br />

Belgium, catherine.decouttere@kuleuven-kortrijk.be, Nico<br />

Vandaele<br />

Research and development portfolio management is traditionally technologically<br />

and financially dominated, with little or no attention for value based<br />

performance. The latter is mainly due to the lack of quantified and reliable<br />

data on the human aspects of product/service development: sustainability, usability,<br />

ecology, ethics, product experience, perceived quality etc. We show<br />

results from an industry review that these issues really matter, not in the least<br />

if it comes to radical innovations (compared to incremental innovations). Using<br />

real life examples we show that this seemingly impossible assessment is<br />

practically possible to include sustainable, social and human centered issues.<br />

4 - Shell Power: Managing the Giant Earthworms (Pheretima<br />

elongata) With Melanoides Granifera to Save the<br />

Ifugao Rice Terraces (IRT)<br />

Nancy Ann Gonzales, Research & Health Sciences, Ifugao State<br />

University, Ifugao State University, 3605, IFUGAO, Philippines,<br />

napgonzales@yahoo.com<br />

The Ifugao Rice Terraces, a World Heritage Site is in danger because of the<br />

giant earthworm (Pheretima elongata). This study aims to test the effectiveness<br />

of Melanoides granifera shell lime in controlling the giant earthworms. Field<br />

evaluation and pilot testing were applied in the study. The two-factor — factorial<br />

within a Randomized Complete Block Design (RCBD) was used. The data<br />

were treated using Analysis of Variance and the Duncan Multiple Range Test<br />

(DMRT). Mixtures of 50g shell lime:6L water and 100g shell lime:6L water<br />

were found to controll giant earthworms.<br />

� HA-14<br />

Thursday, 9:00-10:30<br />

Meeting Room 207<br />

Continuous Optimization, Modelling and<br />

Dynamics in Biology and Medicine I<br />

Stream: Continuous and Non-Smooth Optimization<br />

Invited session<br />

Chair: Herman Mawengkang, Mathematics, The University of<br />

Sumatera Utara, FMIPA USU, KAMPUS USU, 20155, Medan,<br />

Indonesia, mawengkang@usu.ac.id<br />

1 - Modeling Coordination Relationship in School Communities<br />

using Markov-based Dynamic Influence Diagram<br />

Azizah Hanim Nasution, Graduate School of Natural Resources<br />

and Environment Management, University of Sumatera Utara,<br />

Indonesia, nazizahhanim@yahoo.com, Retno Widhiastuti,<br />

Herman Mawengkang, Hidayati Hidayati<br />

Most of the environmental problems might be caused by human behavior.The<br />

effective way to enhance environmental behavior is through education. The<br />

communities involved in a school can be regarded as a multi agent system.<br />

One approach to manage such relationships consists of using an explicit representation<br />

of them, allowing each agent to choose its actions based on them.<br />

In this paper we address an approach to represent coordination relationships<br />

assuming that agents inhabit an uncertain condition. We use Markov-based<br />

dynamic influence diagram to model the coordination relationships.<br />

2 - A Projected Lagrangian Approach for a Class of Multistage<br />

Stochastic Nonlinear Programs<br />

74<br />

Ihda Hasbiyati, Mathematics, Universitas Riau/Graduate School<br />

of Mathematics, University of Sumatera Utara,<br />

Pekanbaru-Indonesia, Medan-Indonesia, Indonesia,<br />

ihasbiyati@yahoo.com<br />

Multi-stage stochastic programming problems arise in many practical situations.<br />

By using scenario analysis technique, a decomposition strategy a for<br />

solving a class of multi-stage stochastic nonlinear programs is proposed, which<br />

generates the search direction by solving parallelly a set of quadratic programming<br />

sub-problems with size much less than the original problem at each iteration.<br />

Generalized reduced gradient methods can be introduced to derive<br />

the estimates of the dual multiplier associated with the nonanticipativity constraints.<br />

3 - On Solving Mixed-integer Non Linear Programming<br />

Problems using Active Cinstraint Strategy<br />

Hardi Tambunan, Universitas Quality/Graduate School of<br />

Mathematics, University of Sumatera Utara, Indonesia,<br />

harditambunan22@yahoo.com, Herman Mawengkang<br />

The special nonlinear mathematical programming problem addressed in this<br />

paper has a structure characterized by a subset of variables restricted to assume<br />

discrete values, which are linear and seperable from the continuous variables.<br />

The strategy of releasing nonbasic variables from their bounds, combined with<br />

the "active constraint’ method, has been developed. This strategy is used to<br />

force the appropriate non-integer basic variables to move to their neighborhood<br />

integer points. Successful implementation of these algorithms was achieved on<br />

various test problems.<br />

4 - Modeling of Epidemic Transmission and Predicting the<br />

Spread of Pathogenic Avian Flu Between Farms<br />

Tertia Delia Nova, Environment Management, University of<br />

Sumatera Utara, Jl. Ampera, Jl. Dr. Mansur, 20155, Medan,<br />

Indonesia, nt.delia@yahoo.com, Herman Mawengkang<br />

Avian flu is an epidemic caused by H5N1 viruses. The infuenza viruses occur<br />

naturally among birds. The transmission mode of avian flu can occur due to<br />

the spread from one farm to other farm of chickens. This paper addresses a<br />

transmission model of avian flu taking into account the factors that affect the<br />

epidemic transmission such as source of infection, social and natural factors.We<br />

estimate key parameters determining the spread of highly transmissible animal<br />

diseases between farms. We implement the model aimed at controlling such<br />

transmission between chicken farms at Padang city, Indonesia.<br />

� HA-15<br />

Thursday, 9:00-10:30<br />

Meeting Room 208<br />

OR for Irregular Warfare<br />

Stream: Military, Defense and Security Applications<br />

Invited session<br />

Chair: Marc West, DSTO, 13 Garden St, 2015, Sydney, Australia,<br />

marc.west@dsto.defence.gov.au<br />

1 - Analysis in Support of Counter Piracy Operations<br />

Marc West, DSTO, 13 Garden St, 2015, Sydney, Australia,<br />

marc.west@dsto.defence.gov.au, Bernard Kachoyan, Les<br />

Hamilton<br />

Somali piracy has increased dramatically in recent years. This paper describes<br />

an analysis technique that could be used with Automatic Identification System<br />

(AIS) data to help characterise merchant shipping traffic and traffic flows, and<br />

spot anomalies. This paper also describes the use of simulated annealing to<br />

allocate patrolling assets in a region where piracy may occur. This technique<br />

allows for the incorporation of piracy risk in certain areas and the movement<br />

of vessels. This style of data analysis is useful when planning future counterpiracy<br />

operations.<br />

2 - An Application of Morphological Analysis for Bioterrorism<br />

Preparedness Scenario Planning<br />

Tony Lau, Human Protection and Performance Division, DSTO,<br />

506, Lorimer Street, 3207, Fishermans Bend, Victoria, Australia,<br />

tony.lau@dsto.defence.gov.au, Wayne Hobbs<br />

The 2001 Amerithrax incident highlighted the potential impact of biological<br />

agents employed as weapons of terror. An issue in planning to meet the threat<br />

of biological terrorism is the large range of potential actors, motives, agents and<br />

delivery methods that could be considered. Scenario based planning has been<br />

demonstrated as a useful tool in support of planning under uncertain conditions.<br />

Using Morphological Analysis a problem space can be defined from which a<br />

hierarchy of plausible scenarios and vignettes is identified. This provides a<br />

basis for exploration of future strategies.

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