A multi-objective differential evolution algorithm based on domination and constraint-handling switching

Many domination-based multi-objective evolutionary algorithms (MOEAs) are designed for constrained multi-objective optimization problems (CMOPs). However, they still face the challenge of balancing the feasibility, convergence and distribution. This paper tackles this issue by proposing a multi-obje...

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Bibliographic Details

Published in:	Information sciences Vol. 579; pp. 796 - 813
Main Authors:	Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Liu, Yuanchao
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.11.2021
Subjects:	Constrained multi-objective optimization problems Constraint-handling technology Differential evolution Multi-objective evolutionary algorithms Differential evolution Constraint-handling technology Multi-objective evolutionary algorithms Constrained multi-objective optimization problems
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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