Neighborhood samples and surrogate assisted multi-objective evolutionary algorithm for expensive many-objective optimization problems

Many surrogate-assisted meta-heuristic algorithms have been proposed for single-objective expensive optimization problems, however, not so much attention has been paid to multi-objective expensive problems, especially for those with more than four objectives. In this paper, we use reference vector g...

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Vydané v:	Applied soft computing Ročník 105; s. 107268
Hlavní autori:	Zhao, Yi, Zeng, Jianchao, Tan, Ying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.07.2021
Predmet:	Expensive many-objective optimization Radial basis function Surrogate model Surrogate-assisted evolutionary algorithm Radial basis function Surrogate-assisted evolutionary algorithm Expensive many-objective optimization Surrogate model
ISSN:	1568-4946, 1872-9681
On-line prístup:	Získať plný text
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