Augmenting SPEA2 with K-Random competitive coevolution for enhanced evolutionary multi-objective optimization

Tse Guan Tan Tse Guan Tan,Jason Teo,Hui Keng Lau Hui Keng Lau

doi:10.1109/itsim.2008.4631990

Augmenting SPEA2 with K-Random competitive coevolution for enhanced evolutionary multi-objective optimization

Tse Guan Tan Tse Guan Tan, Jason Teo + Show 1 more

https://doi.org/10.1109/itsim.2008.4631990

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Publication Date: Aug 1, 2008

Citations: 9

Affiliation: Centre for Artificial Intelligence and Robotics

#Strength Pareto Evolutionary Algorithm 2 #DTLZ Test Problems + Show 8 more

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Abstract

One new algorithm is being proposed, which is the integration between one Multiobjective Evolutionary Algorithm (MOEA): Strength Pareto Evolutionary Algorithm 2 (SPEA2) and competitive coevolution using K-Random Opponents competitive fitness strategy. The resulting algorithm is referred to as SPEA2-CE-KR. This proposed algorithm was benchmarked against the original SPEA2 using seven DTLZ test problems having 3 to 5 objectives. Overall, reveal that SPEA2-CE-KR performed well for the spacing and coverage metrics.

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