A Bayesian approach to constrained single- and multi-objective optimization
type: Item
instance of: scholarly article
title: A Bayesian approach to constrained single- and multi-objective optimization
zbMATH Open document ID: 1390.90441
author: Paul Feliot
author: Julien Bect
author: Emmanuel Vazquez
published in: Journal of Global Optimization
publication date: 2017-02-01T00:00:00Z
full work available at URL: https://arxiv.org/abs/1510.00503
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 6679474
zbMATH Keywords: Bayesian optimization
zbMATH Keywords: expected improvement
zbMATH Keywords: kriging
zbMATH Keywords: Gaussian process
zbMATH Keywords: multi-objective
zbMATH Keywords: sequential Monte Carlo
zbMATH Keywords: subset simulation
describes a project that uses: ParEGO
describes a project that uses: SPEA2
describes a project that uses: EGO
describes a project that uses: NLopt
describes a project that uses: PESC
describes a project that uses: HypE
describes a project that uses: STK
describes a project that uses: GPareto
MaRDI profile type: Publication
OpenAlex ID: W2191881503
arXiv ID: 1510.00503
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DOI: 10.1007/S10898-016-0427-3
description: scientific article