Competitive coevolution with k-random opponents for pareto multiobjective optimization

Tse , Guan Tan and Teo, Jason Tze Wi and Keng, Keng Lau (2007) Competitive coevolution with k-random opponents for pareto multiobjective optimization. In: 3rd International Conference on Natural Computation (ICNC 2007), 24-27 August 2007, Haikou, Hainan, China.

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Official URL: http://dx.doi.org/10.1109/ICNC.2007.309

Abstract

In this paper, our objective is to conduct comprehensive tests for competitive coevolution using an evolutionary multiobjective algorithm for 3 dimensional problems. This competitive coevolution will be implemented with K-Random Opponents strategy. A new algorithm which integrates Competitive Coevolution (CE) 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 Competitive Coevolution (SPEA2-CE). The performance between SPEA2-CE is compared against SPEA2 to solve problems with each having three objectives using DTLZ suite of test problems. In general, the results show that the SPEA2-CE with KRandom Opponents performed well for the generational distance and coverage but performed less favorably for spacing. © 2007 IEEE.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Pareto principle, Problem solving, Random processes, Three dimensional Competitive coevolution, Comprehensive tests, K-Random Opponents, Pareto multiobjective optimization Evolutionary algorithms
Subjects:?? QA101-(145) ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2824
Deposited By:IR Admin
Deposited On:30 Jun 2011 15:10
Last Modified:30 Dec 2014 14:55

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