Global and local feasible solution search for solving constrained multi-objective optimization

Constrained multi-objective optimization problems (CMOPs) are challenging due to the complexity of feasible regions caused by constraints, especially when facing small feasible ranges, multiple feasible regions, and complex distribution of feasible regions. Existing algorithms struggle to balance po...

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Vydané v:	Information sciences Ročník 649; s. 119467
Hlavní autori:	Huang, Weixiong, Zou, Juan, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.11.2023
Predmet:	Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm
ISSN:	0020-0255, 1872-6291
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