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Conference Program of WCICA 2012

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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

shape control.<br />

◁ PFrB-25<br />

Research on Intelligent Control Methods <strong>of</strong> Iron Ore Rotary Kiln Pellets<br />

Sintering Process, pp.501–505<br />

Wang, Jie-sheng<br />

Ren, Xiudong<br />

Univ. <strong>of</strong> Sci. & Tech. Liaoning<br />

Univ. <strong>of</strong> Sci. & Tech. Liaoning<br />

The iron ore rotary kiln pellets sintering production system is a typical<br />

complex nonlinear multivariable process with strongly coupling and<br />

large time delays. The up-to-the-minute research results <strong>of</strong> integrated<br />

modeling and optimized operation <strong>of</strong> rotary kiln pellets sintering production<br />

process based on intelligent control methods. It mainly includes the<br />

s<strong>of</strong>t-sensor modeling, working state recognition and intelligent control<br />

strategy. In the end the existent problems and future research directions<br />

in the rotary kiln control field is concluded.<br />

◁ PFrB-26<br />

Non-Stationary Type-2 Fuzzy Sets, pp.512–517<br />

Zhao, Liang<br />

Henan Univ. <strong>of</strong> Tech.<br />

In this paper, we introduce non-stationary type-2 fuzzy set (NST2FS),<br />

which is the important extension <strong>of</strong> its type-1 counterpart. NST2FS has<br />

distinct characteristics with uncertain membership function and alteration<br />

over time. According to different mathematical formalizations <strong>of</strong><br />

its instantaneous T2FS (IT2FS), NST2FS can be divided into two categories,<br />

i.e. homogeneous and heterogeneous counterparts. The paper<br />

concentrates on homogeneous continuous NST2FS (HCNST2FS),<br />

<strong>of</strong> which each IT2FS is continuous. A plane representation theorem<br />

is the cogent tool to deal with these basic set operators (intersection,<br />

union and complement) and approximate fuzzy reasoning. Some s-<br />

elected important properties are also proved in the process. On this<br />

basis, homogeneous continuous nonstationary type-2 fuzzy logic system<br />

(HCNST2FLS) is discussed in the following section, which focuses<br />

on the elaboration <strong>of</strong> its calculation procedure. One numerical case,<br />

that is, blurred ’or’logic operator, is carried out in order to evaluate<br />

the superior performance <strong>of</strong> our proposing system.<br />

◁ PFrB-27<br />

A Discrete Artificial Bee Colony Algorithm for the Blocking Flow Shop<br />

Scheduling Problem, pp.518–522<br />

Deng, Guanlong<br />

Cui, Zhe<br />

Gu, Xingsheng<br />

East China Univ. <strong>of</strong> Sci. & Tech.<br />

East China Univ. <strong>of</strong> Sci. & Tech.<br />

East China Univ. <strong>of</strong> Sci. & Tech., China<br />

This paper presents a discrete bee colony algorithm for solving the<br />

blocking flow shop scheduling problem with makespan criterion. Based<br />

on the idea <strong>of</strong> iterated greedy algorithm, some new schemes for employed<br />

bee, onlooker bee and scout bee are designed. The performance<br />

<strong>of</strong> the proposed algorithm is tested on the well-known benchmark<br />

set <strong>of</strong> Taillard, and the computational results validate the effectiveness<br />

<strong>of</strong> the discrete bee colony algorithm in comparison with two<br />

recently proposed state-<strong>of</strong>-the-art algorithms. In addition, some new<br />

best known solutions for the benchmark set are provided for the considered<br />

problem.<br />

◁ PFrB-28<br />

Application <strong>of</strong> Fuzzy Clustering Model in Groundwater Run<strong>of</strong>f Zones<br />

Classification and Indicator Correlation Analysis, pp.528–531<br />

DOAN, THANH NGHI<br />

Yu, Xuefeng<br />

Zhang, Zhongyuan<br />

heilongjiang Univ.<br />

heilongjiang Univ.<br />

heilongjiang Univ.<br />

Abstract - There are many factors influencing the groundwater run<strong>of</strong>f<br />

strength(GRS) classification. Some factors have positive correlation,<br />

the others have negative correlation. In order to classify GRS exactly,it<br />

is necessery to find the correlation between the indicators and the<br />

GRS. In this paper ,a new method <strong>of</strong> correlation analysis is proposed<br />

based on the fuzzy clustering model(FCM). With real cases, we discuss<br />

the application <strong>of</strong> FCM and obtain satisfactory results<br />

◁ PFrB-29<br />

A Method <strong>of</strong> UUV Path Planning with Biased Extension in Ocean Flows,<br />

pp.532–537<br />

Yan, Zheping<br />

Zhao, Yufei<br />

Zhang, Honghan<br />

Harbin Engineering Univ.<br />

Harbin Engineering Univ.<br />

Harbin Engineering Univ.<br />

The problem <strong>of</strong> path planning for UUV in time-varying ocean flows is<br />

considered. A method <strong>of</strong> path planning with biased extension is proposed<br />

to guarantee that the path is feasible and optimal. Considering<br />

the anisotropy <strong>of</strong> ocean flows and the motion constraint <strong>of</strong> UUV, a simplified<br />

space is obtained after the sub-nodes are expanded in special<br />

orientation. An integrated cost function is proposed to fulfill the requirement<br />

<strong>of</strong> different missions, including the energy expenditure, travel time,<br />

and obstacle avoidance. In the end, A* based algorithm is applied for<br />

path search. Simulation results illustrate the proposed approach is simple<br />

and fast, and the path posed is feasible for trail.<br />

◁ PFrB-30<br />

Research <strong>of</strong> PSO Algorithm with Variable Constraints in Process System,<br />

pp.544–548<br />

Ding, Qiang<br />

Chen, Hong<br />

Jiang, Aipeng<br />

Wang, Chun-lin<br />

Lin, Weiwei<br />

Hangzhou Dianzi Univ.<br />

Tourism College <strong>of</strong> Zhejiang<br />

Hangzhou Dianzi Univ.<br />

Hang Zhou Dian Zi Ke Ji Da Xue<br />

Hangzhou Dianzi Univ.<br />

To solve chemical problems with variable and nonrigid constraints, a<br />

method based on particle swarm optimization (PSO) algorithm was p-<br />

resented. By mathematical analysis and transform, the variable constraints<br />

were regard as an item to be optimized. Then the item multiplied<br />

by penalty and combined with the primary objective function. So<br />

the primary problem was transferred to the multi-objective function, and<br />

can be solved by multi-objective PSO algorithm. With problems solved<br />

by multi-objective PSO and analysis <strong>of</strong> the solutions related with variable<br />

constraints, reasonable solution and optimal scheme can be obtained.<br />

The proposed method was used to optimize a chemical design<br />

problem and a parameter estimation problem. The results demonstrate<br />

that the proposed method is effective.<br />

◁ PFrB-31<br />

A New Approach to Solve the Mission Assignment Problem for Cooperative<br />

UCAVs Using Immune Particle Swarm Optimizations, pp.549–554<br />

WANG, GUODONG<br />

Deng, Zhidong<br />

Shenyang aircraft design & research Inst.<br />

Tsinghua Universtiy, China<br />

This paper first builds a mathematical model for the mission assignment<br />

problem (MAP) <strong>of</strong> cooperative multiple uninhabited combat aerial<br />

vehicles (UCAVs). To address challenges posed by the specific MAP<br />

problem, we propose a new immune particle swarm optimization (NIP-<br />

SO) approach through incorporating immunity memory, diversity clone,<br />

and immune selection in artificial immune algorithm into standard PSO.<br />

The simulation results achieved on a typical scenario show that our<br />

NIPSO approach for multiple UCAVs is capable <strong>of</strong> substantially speeding<br />

up convergence and has stronger ability to find the global optimum<br />

than that <strong>of</strong> classical PSO. The MAP solution for cooperative UCAVs is<br />

significantly improved.<br />

◁ PFrB-32<br />

a Novel Model for Selecting Parameters <strong>of</strong> SVM with RBF Kernel,<br />

pp.566–569<br />

YAN, Zhi-gang<br />

China Univ. <strong>of</strong> mining & Tech.<br />

Based on the viewpoint <strong>of</strong> similarity measurement, researched the influences<br />

<strong>of</strong> the error penalty parameter C and the RBF kernel parameter<br />

σon support vector machine’s generalization ability. As the result, the<br />

parameter C adjust the similarities between the sample categories and<br />

σadjust the similarities among the samples, C and σmutually restrict<br />

and balance each other in a certain range, the shape <strong>of</strong> the optimal<br />

parameter range like a fan, the more reasonable parameters’value locate<br />

at the center <strong>of</strong> the fan, where the values <strong>of</strong> C and σare smaller.<br />

A novel method for selecting parameters was presented, firstly, roughly<br />

grid searched the reasonable parameter range with a big step size,<br />

then selected the optimized parameters in the delineated area through<br />

126

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