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...

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Veröffentlicht in:	Expert systems with applications Jg. 266; S. 126073
Hauptverfasser:	Sun, Yan, Zhou, Xiaojun, Yang, Chunhua, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 25.03.2025
Schlagworte:	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-Zugang:	Volltext
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