Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization

Surrogate-assisted evolutionary algorithms (SAEAs) have gained a lot of attention to handle expensive multi-objective optimization problems (EMOPs). However, when it comes to high-dimensional EMOPs (HEMOPs), the performance of existing SAEAs degrades dramatically because of the dimensionality sensit...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 97; S. 101978
Hauptverfasser:	Zhu, Shuwei, Zhang, Yimo, Fang, Wei, Cui, Meiji, Deb, Kalyanmoy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2025
Schlagworte:	Evolutionary multi-objective optimization Expensive optimization problems High-dimensional optimization Infill sampling criterion Surrogate-assisted optimization Expensive optimization problems Surrogate-assisted optimization High-dimensional optimization Evolutionary multi-objective optimization Infill sampling criterion
ISSN:	2210-6502
Online-Zugang:	Volltext
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