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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Veröffentlicht in:	Information sciences Jg. 579; S. 796 - 813
Hauptverfasser:	Yang, Yongkuan, Liu, Jianchang, Tan, Shubin, Liu, Yuanchao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.11.2021
Schlagworte:	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-Zugang:	Volltext
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