A surrogate-assisted evolution strategy for constrained multi-objective optimization

•New surrogate-assisted ES for constrained multi-objective optimization is developed.•Surrogates are used to identify the most promising among many trial offspring.•A radial basis function (RBF) model is used to implement the method.•Method is tested on benchmark problems and manufacturing and robot...

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Vydané v:	Expert systems with applications Ročník 57; s. 270 - 284
Hlavní autori:	Datta, Rituparna, Regis, Rommel G.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.09.2016
Predmet:	Algorithms Approximation Computation Computer simulation Constrained optimization Constraints Evolution strategy Mathematical analysis Mathematical models Metamodel Multi-objective optimization Optimization Radial basis function Surrogate Radial basis function Multi-objective optimization Evolution strategy Surrogate Metamodel Constrained optimization
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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