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...

Celý popis

Podrobná bibliografie

Vydáno v:	Expert systems with applications Ročník 266; s. 126073
Hlavní autoři:	Sun, Yan, Zhou, Xiaojun, Yang, Chunhua, Huang, Tingwen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 25.03.2025
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!