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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Bibliographic Details

Published in:	Information sciences Vol. 649; p. 119467
Main Authors:	Huang, Weixiong, Zou, Juan, Liu, Yuan, Yang, Shengxiang, Zheng, Jinhua
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2023
Subjects:	Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm Constrained multi-objective optimization Constraint handing technology Evolutionary algorithm
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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