A Python/C library for bound-constrained global optimization with continuous GRASP
type: Item
instance of: scholarly article
title: A Python/C library for bound-constrained global optimization with continuous GRASP
zbMATH Open document ID: 1273.90164
author: Mauricio G. C. Resende
author: Panos M. Pardalos
author: Ricardo Silva
author: Michael J. Hirsch
published in: Optimization Letters
publication date: 2013-06-28T00:00:00Z
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90-04
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6182334
zbMATH Keywords: GRASP
zbMATH Keywords: continuous GRASP
zbMATH Keywords: global optimization
zbMATH Keywords: multimodal functions
zbMATH Keywords: continuous optimization
zbMATH Keywords: heuristic
zbMATH Keywords: stochastic algorithm
zbMATH Keywords: stochastic local search
zbMATH Keywords: nonlinear programming
describes a project that uses: SimCList
describes a project that uses: Autoconf
describes a project that uses: MersenneTwister
describes a project that uses: SymPy
describes a project that uses: GRASP
describes a project that uses: Autotools
describes a project that uses: Python
MaRDI profile type: Publication
full work available at URL: s11590-012-0475-7
OpenAlex ID: W2042262474
Wikidata QID: Q120892205
cites work: Global optimization by continuous grasp
cites work: Speeding up continuous GRASP
cites work: Mersenne twister
DOI: 10.1007/S11590-012-0475-7
description: scientific article