A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization

In recent years, constrained multi-objective optimization problems (CMOPs) have received wide attention. However, most solving methods for CMOPs still cannot balance objectives and constraints well since constraints make CMOPs have the complicated constrained Pareto front (CPF). This implies that ut...

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Veröffentlicht in:	Expert systems with applications Jg. 274; S. 126908
Hauptverfasser:	Zhang, Wei, Liu, Jianchang, Li, Lin, Liu, Yuanchao, Wang, Honghai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.05.2025
Schlagworte:	Co-evolutionary algorithm Constrained multi-objective optimization Dynamic cooperation strategy Knowledge Two-stage Constrained multi-objective optimization Dynamic cooperation strategy Two-stage Knowledge Co-evolutionary algorithm
ISSN:	0957-4174
Online-Zugang:	Volltext
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