Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package
type: Item
instance of: scholarly article
title: Noisy kriging-based optimization methods: a unified implementation within the DiceOptim package
zbMATH Open document ID: 1471.62161
author: Victor Picheny
author: D. Ginsbourger
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
full work available at URL: Noisy kriging-based optimization methods a unified implementation within the DiceOptim package.pdf
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62-04
zbMATH DE Number: 6975443
zbMATH Keywords: computer experiments
zbMATH Keywords: Gaussian processes
zbMATH Keywords: active learning
describes a project that uses: lhs
describes a project that uses: mlegp
describes a project that uses: MORET
describes a project that uses: R
describes a project that uses: EGO
describes a project that uses: tgp
describes a project that uses: DiceDesign
describes a project that uses: pso
describes a project that uses: dfoptim
describes a project that uses: geoR
describes a project that uses: DiceKriging
describes a project that uses: nloptr
MaRDI profile type: Publication
OpenAlex ID: W2023668266
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DOI: 10.1016/J.CSDA.2013.03.018
description: scientific article; zbMATH DE number 6975443