Augmenting SPEA2 with k-random competitive coevolution for enhanced evolutionary multi-objective optimization

Tse Guan Tan; Hui Keng Lau; Jason Teo

Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/395041

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DC Field	Value	Language
dc.contributor.author	Tse Guan Tan	-
dc.contributor.author	Hui Keng Lau	-
dc.contributor.author	Jason Teo	-
dc.date.accessioned	2023-06-15T07:54:10Z	-
dc.date.available	2023-06-15T07:54:10Z	-
dc.identifier.other	ukmvital:122778	-
dc.identifier.uri	https://ptsldigital.ukm.my/jspui/handle/123456789/395041	-
dc.description.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.	-
dc.language.iso	eng	-
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US	-
dc.subject	SPEA2	-
dc.subject	K-random competitive	-
dc.subject	Multiobjective Evolutionary Algorithm (MOEA)	-
dc.title	Augmenting SPEA2 with k-random competitive coevolution for enhanced evolutionary multi-objective optimization	-
dc.type	Seminar Papers	-
dc.format.pages	6	-
dc.identifier.callno	T58.5.C634 2008 kat sem j.3	-
dc.contributor.conferencename	International Symposium on Information Technology	-
dc.coverage.conferencelocation	Kuala Lumpur Convention Centre	-
dc.date.conferencedate	26/08/2008	-
Appears in Collections:	Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding

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