SEA: Many-objective evolutionary algorithm with selection evolution strategy

Balancing the convergence and diversity of the population is crucial for solving multi-objective problems. As the number of objectives increases, the inherent conflict between maintaining diversity and ensuring convergence becomes more significant. To address this challenge, we propose a novel evolu...

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Veröffentlicht in:	Expert systems with applications Jg. 252; S. 124226
Hauptverfasser:	Zhang, Quan, Yang, Na, Wu, Ying, Tang, Zhenzhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.10.2024
Schlagworte:	Evolutionary algorithm Lp-norm Many-objective optimization Selective evolution Lp-norm Selective evolution Many-objective optimization Evolutionary algorithm
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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