A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization

•A coevolutionary multi-swarm particle swarm optimizer is proposed.•All swarms utilize an information sharing strategy to evolve cooperatively.•A velocity update mechanism and a new boundary constraints technique are adopted.•A similarity detection operator is used to detect the environment change.•...

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Veröffentlicht in:	European journal of operational research Jg. 261; H. 3; S. 1028 - 1051
Hauptverfasser:	Liu, Ruochen, Li, Jianxia, fan, Jing, Mu, Caihong, Jiao, Licheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 16.09.2017
Schlagworte:	Coevolution Dynamic multi-objective optimization Multi-swarm Particle swarm optimization Multiple objective programming Similarity detective Multi-swarm Particle swarm optimization Dynamic multi-objective optimization Coevolution Multiple objective programming Similarity detective
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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