An adaptive radial basis algorithm (ARBF) for expensive black-box global optimization
type: Item
instance of: scholarly article
title: An adaptive radial basis algorithm (ARBF) for expensive black-box global optimization
zbMATH Open document ID: 1152.90609
author: Kenneth Holmström
published in: Journal of Global Optimization
publication date: 2008-07-30T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C11
zbMATH DE Number: 5306203
zbMATH Keywords: Expensive function
zbMATH Keywords: CPU-intensive
zbMATH Keywords: Costly function
zbMATH Keywords: Nonconvex
zbMATH Keywords: Software
zbMATH Keywords: Derivative-free
zbMATH Keywords: Response surface
zbMATH Keywords: Surrogate model
zbMATH Keywords: Splines
describes a project that uses: EGO
describes a project that uses: TOMLAB
describes a project that uses: MCS
MaRDI profile type: Publication
Wikidata QID: Q29038619
full work available at URL: s10898-007-9256-8
OpenAlex ID: W2059632676
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cites work: Q4026010
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cites work: Constrained global optimization of expensive black box functions using radial basis functions
DOI: 10.1007/S10898-007-9256-8
description: scientific article; zbMATH DE number 5306203