A Multicriteria Generalization of Bayesian Global Optimization
type: Item
instance of: scholarly article
title: A Multicriteria Generalization of Bayesian Global Optimization
zbMATH Open document ID: 1355.90071
DOI: 10.1007/978-3-319-29975-4_12
author: Michael Emmerich
author: Kaifeng Yang
author: A. H. Deutz
author: Hao Wang
author: Carlos M. Fonseca
published in: Advances in Stochastic and Deterministic Global Optimization
publication date: 2017-02-03T00:00:00Z
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 6680273
zbMATH Keywords: Bayesian global optimization
zbMATH Keywords: expected hypervolume improvement
zbMATH Keywords: computation complexity
describes a project that uses: ParEGO
describes a project that uses: EGO
MaRDI profile type: Publication
full work available at URL: 978-3-319-29975-4 12
OpenAlex ID: W2548304608
cites work: Theory of the hypervolume indicator
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cites work: Q3658969
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cites work: Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
description: scientific article