A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems

•The purpose of this study is to solve multi-modal multi-objective problems.•Using the adaptive parameter adjustment strategy to extend the search space.•The dynamic neighborhood forming strategy can exchange the information between particles in time.•The mutation operator is embedded to make the pa...

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Vydané v:	Expert systems with applications Ročník 205; s. 117713
Hlavní autori:	Gu, Qinghua, Wang, Qian, Chen, Lu, Li, Xiaoguang, Li, Xuexian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2022
Predmet:	Adaptive parameters Dynamic neighborhood Multi-modal multi-objective problem Mutation operator Particle swarm optimization Dynamic neighborhood Mutation operator Particle swarm optimization Multi-modal multi-objective problem Adaptive parameters
ISSN:	0957-4174, 1873-6793
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