A modified particle swarm optimization for multimodal multi-objective optimization

As an effective evolutionary algorithm, particle swarm optimization (PSO) has been widely used to solve single or multi-objective optimization problems. However, the performance of PSO in solving multi-objective problems is unsatisfactory, so a variety of PSO has been proposed to enhance the perform...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 95; S. 103905
Hauptverfasser:	Zhang, XuWei, Liu, Hao, Tu, LiangPing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2020
Schlagworte:	Dynamic neighborhood Multimodal multi-objective Offering competition mechanism Particle swarm optimization Dynamic neighborhood Particle swarm optimization Multimodal multi-objective Offering competition mechanism
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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