Cooperative versus competitive coevolution for pareto multiobjective optimization

Tse, Guan Tan and Keng, Keng Lau and Teo, Jason Tze Wi (2007) Cooperative versus competitive coevolution for pareto multiobjective optimization. In: International Conference on Life System Modeling and Simulation (LSMS 2007), 14-17 September 2007, Shanghai, China.

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Official URL: http://dx.doi.org/10.1007/978-3-540-74769-7_8

Abstract

In this paper, we propose the integration between Strength Pareto Evolutionary Algorithm 2 (SPEA2) with two types of coevolution concept, Competitive Coevolution (CE) and Cooperative Coevolution (CC), to solve 3 dimensional multiobjective optimization problems. The resulting algorithms are referred to as Strength Pareto Evolutionary Algorithm 2 with Competitive Coevolution (SPEA2-CE) and Strength Pareto Evolutionary Algorithm 2 with Cooperative Coevolution (SPEA2-CC). The main objective of this paper is to compare competitive against cooperative coevolution to ascertain which coevolutionary approach is preferable for multiobjective optimization. The competitive coevolution will be implemented with K-Random Opponents strategy. The performances of SPEA2-CE and SPEA2-CC for solving triobjective problems using the DTLZ suite of test problems are presented. The results show that the cooperative approach far outperforms the competitive approach when used to augment SPEA2 for tri-objective optimization in terms of all the metrics (generational distance, spacing and coverage). © Springer-Verlag Berlin Heidelberg 2007.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Algorithms, Multiobjective optimization, Problem solving, Random processes, Cooperative coevolution, K-Random Opponents strategy, Pareto principle
Subjects:?? QA150-272.5 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2806
Deposited By:IR Admin
Deposited On:19 Apr 2011 15:28
Last Modified:30 Dec 2014 14:52

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