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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Bibliographic Details

Published in:	Expert systems with applications Vol. 205; p. 117713
Main Authors:	Gu, Qinghua, Wang, Qian, Chen, Lu, Li, Xiaoguang, Li, Xuexian
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2022
Subjects:	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 Access:	Get full text
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