A trust-region-like algorithm for expensive multi-objective optimization

In solving expensive multi-objective optimization problems, surrogate models have been widely investigated. The existing multi-objective algorithms adopting surrogate models can be classified into two categories: surrogate-assisted evolutionary algorithms (SAEAs) and surrogate-based optimization alg...

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Vydáno v:	Applied soft computing Ročník 148; s. 110892
Hlavní autoři:	Liu, Hongwei, Zhou, Changcong, Liu, Fuchao, Duan, Zunyi, Zhao, Haodong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2023
Témata:	Expensive multi-objective optimization Reference vectors Sampling strategies Surrogate models Trust-region Trust-region Sampling strategies Surrogate models Expensive multi-objective optimization Reference vectors
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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