CGRS -- an advanced hybrid method for global optimization of continuous functions closely coupling extended random search and conjugate gradient method
type: Item
instance of: scholarly article
title: CGRS -- an advanced hybrid method for global optimization of continuous functions closely coupling extended random search and conjugate gradient method
zbMATH Open document ID: 1390.90442
author: Christian Gnandt
author: R. Callies
published in: Journal of Computational and Applied Mathematics
publication date: 2018-01-11T00:00:00Z
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6824481
zbMATH Keywords: global optimization
zbMATH Keywords: random search
zbMATH Keywords: conjugate gradient method
zbMATH Keywords: hybrid approach
zbMATH Keywords: convergence in probability
zbMATH Keywords: distribution-based region control
describes a project that uses: PSwarm
describes a project that uses: CGLS
describes a project that uses: Matlab
describes a project that uses: COBYLA2
describes a project that uses: Maple
describes a project that uses: CG_DESCENT
describes a project that uses: MultiMin
MaRDI profile type: Publication
full work available at URL: j.cam.2017.10.018
OpenAlex ID: W2765173154
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CGRS -- an advanced hybrid method for global optimization of continuous functions closely coupling extended random search and conjugate gradient method (DOI)
DOI: 10.1016/J.CAM.2017.10.018