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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Veröffentlicht in:	Information sciences Jg. 649; S. 119467
Hauptverfasser:	Huang, Weixiong, Zou, Juan, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.11.2023
Schlagworte:	Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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