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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Vydané v:	European journal of operational research Ročník 261; číslo 3; s. 1028 - 1051
Hlavní autori:	Liu, Ruochen, Li, Jianxia, fan, Jing, Mu, Caihong, Jiao, Licheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 16.09.2017
Predmet:	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
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