An efficient multi-objective PSO algorithm assisted by Kriging metamodel for expensive black-box problems
type: Item
instance of: scholarly article
title: An efficient multi-objective PSO algorithm assisted by Kriging metamodel for expensive black-box problems
zbMATH Open document ID: 1359.90130
author: Haoxiang Jie
author: Jianjun Zhao
author: Jianwan Ding
author: Liangliang
author: Yi-Zhong Wu
published in: Journal of Global Optimization
publication date: 2017-02-01T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6679487
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: kriging metamodel
zbMATH Keywords: particle swarm optimization
zbMATH Keywords: black-box function
describes a project that uses: DACE
describes a project that uses: MOPSO
describes a project that uses: EGO
MaRDI profile type: Publication
full work available at URL: s10898-016-0428-2
OpenAlex ID: W2336895434
cites work: Q4721455
cites work: Multi-objective optimization using evolutionary algorithms
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cites work: Multivariate adaptive regression splines
cites work: Efficient global optimization of expensive black-box functions
cites work: Response surface approximation of Pareto optimal front in multi-objective optimization
cites work: Efficient Pareto frontier exploration using surrogate approximations
cites work: Q4026010
cites work: Design and analysis of computer experiments. With comments and a rejoinder by the authors
DOI: 10.1007/S10898-016-0428-2
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description: scientific article; zbMATH DE number 6679487