Stochastic population update can provably be helpful in multi-objective evolutionary algorithms

Evolutionary algorithms (EAs) have been widely and successfully applied to solve multi-objective optimization problems, due to their nature of population-based search. Population update, a key component in multi-objective EAs (MOEAs), is usually performed in a greedy, deterministic manner. That is,...

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Veröffentlicht in:	Artificial intelligence Jg. 341; S. 104308
Hauptverfasser:	Bian, Chao, Zhou, Yawen, Li, Miqing, Qian, Chao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.04.2025
ISSN:	0004-3702
Online-Zugang:	Volltext
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