Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces

This article suggests a multimodal multiobjective evolutionary algorithm with dual clustering in decision and objective spaces. One clustering is run in decision space to gather nearby solutions, which will classify solutions into multiple local clusters. Nondominated solutions within each local clu...

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Vydáno v:	IEEE transactions on evolutionary computation Ročník 25; číslo 1; s. 130 - 144
Hlavní autoři:	Lin, Qiuzhen, Lin, Wu, Zhu, Zexuan, Gong, Maoguo, Li, Jianqiang, Coello, Carlos A. Coello
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Classification algorithms Clustering Clustering algorithms Convergence evolutionary algorithm Evolutionary algorithms Evolutionary computation multimodal optimization multiobjective optimization Multiple objective analysis Optimization Pareto optimization Sociology Statistics
ISSN:	1089-778X, 1941-0026
On-line přístup:	Získat plný text
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