Empirical analysis of competitive coevolution multiobjective evolutionary algorithm

Guan, Tan Tse and Teo, Jason Tze Wi and Keng, Lau Hui (2007) Empirical analysis of competitive coevolution multiobjective evolutionary algorithm. In: 2007 International Conference on Intelligent and Advanced Systems (ICIAS 2007), 25-28 November 2007, Kuala Lumpur, Malaysia.

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The integration between Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Competitive Coevolution (CE) concept is presented in this paper, a strategy for solving an optimization problem with three scalable objectives. The Hall of Fame (HOF) competitive fitness function is used to implement the CE. This proposed algorithm referred to as SPEA2-CE-HOF. The performance between SPEA2-CE-HOF is compared against original SPEA2 in solving problems in the DTLZ suite having three to five objectives. The results showed that the SPEA2-CE-HOF performed better than SPEA2 in most of the DTLZ test problems for the generational distance. However the proposed algorithm performed average for the coverage metric. ©2007 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Keyword: Function evaluation, Multiobjective optimization, Co evolutions, Competitive fitnesses, Empirical analyses, Multi-Objective Evolutionary algorithms, Optimization problems, Strength Pareto Evolutionary algorithms, Test problems, Evolutionary algorithms
Subjects: Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Depositing User: ADMIN ADMIN
Date Deposited: 18 Apr 2011 11:29
Last Modified: 30 Dec 2014 14:52
URI: https://eprints.ums.edu.my/id/eprint/2787

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