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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Vydané v:	Expert systems with applications Ročník 266; s. 126073
Hlavní autori:	Sun, Yan, Zhou, Xiaojun, Yang, Chunhua, Huang, Tingwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 25.03.2025
Predmet:	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
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