Guan, Tan Tse and Keng, Keng Lau and Teo, Jason Tze Wi (2007) Cooperative coevolution for Pareto multiobjective optimization : An empirical study using SPEA2. In: IEEE Region 10 Conference, (TENCON 2007) , 30 October - 2 November 2007, Taipei, Taiwan.
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Official URL: http://dx.doi.org/10.1109/TENCON.2007.4429134
Cooperative coevolution has been shown to be useful in evolutionary multiobjective optimization for bi-objective problems. However, this approach has yet to be investigated for multi-objective problems with higher dimensionality. In this paper, our objective is to conduct comprehensive empirical tests for cooperative coevolution using an evolutionary multiobjective algorithm for 3-dimensional problems. A new algorithm which integrates Cooperative Coevolutionary (CC) and the Strength Pareto Evolutionary Algorithm 2 (SPEA2) is proposed to achieve this objective. The resulting algorithm is referred to as the Strength Pareto Evolutionary Algorithm 2 with Cooperative Coevolution (SPEA2-CC). The performance between SPEA2-CC is compared against SPEA2 in solving tri-objectives problems in DTLZ suite of test problems. The results showed that SPEA2-CC clearly outperforms SPEA2, further proving the validity and effectiveness of augmenting evolutionary multi-objective algorithms with the cooperative coevolution approach. ©2007 IEEE.
|Item Type:||Conference Paper (UNSPECIFIED)|
|Uncontrolled Keywords:||Algorithms, Evolutionary algorithms, Optimization, Pareto principle, Security of data, Testing 3-dimensional, Cooperative co-evolution, Empirical studies, Empirical testing, Evolutionary multi-objective optimization, Multi objectives, Multi-objective algorithms, Multi-Objective Problems, New algorithm, Strength Pareto evolutionary algorithm, Test problems Multiobjective optimization|
|Subjects:||?? QA150-272.5 ??|
|Divisions:||SCHOOL > School of Engineering and Information Technology|
|Deposited By:||IR Admin|
|Deposited On:||20 May 2011 16:33|
|Last Modified:||30 Dec 2014 14:55|
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