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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Expert systems with applications Jg. 205; S. 117713
Hauptverfasser:	Gu, Qinghua, Wang, Qian, Chen, Lu, Li, Xiaoguang, Li, Xuexian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2022
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!