A self-organized speciation based multi-objective particle swarm optimizer for multimodal multi-objective problems

This paper proposes a self-organized speciation based multi-objective particle swarm optimizer (SS-MOPSO) to locate multiple Pareto optimal solutions for solving multimodal multi-objective problems. In the proposed method, the speciation strategy is used to form stable niches and these niches/subpop...

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Bibliographic Details
Published inApplied soft computing Vol. 86; p. 105886
Main Authors Qu, Boyang, Li, Chao, Liang, Jing, Yan, Li, Yu, Kunjie, Zhu, Yongsheng
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2020
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