Constrained multi-objective state transition algorithm via adaptive bidirectional coevolution

Constrained multi-objective optimization problems (CMOPs) involve optimizing multiple conflicting objectives subject to at least one constraint. These constraints often divide the search space into various infeasible regions and narrow or disconnected feasible regions. Most existing constrained mult...

Full description

Bibliographic Details

Published in:	Expert systems with applications Vol. 266; p. 126073
Main Authors:	Sun, Yan, Zhou, Xiaojun, Yang, Chunhua, Huang, Tingwen
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 25.03.2025
Subjects:	Adaptive bidirectional coevolution Constrained multi-objective optimization Dynamic ɛ-constraint boundary State transition algorithm Constrained multi-objective optimization Adaptive bidirectional coevolution State transition algorithm Dynamic ɛ-constraint boundary
ISSN:	0957-4174
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!