Efficient large scale global optimization through clustering-based population methods
type: Item
instance of: scholarly article
title: Efficient large scale global optimization through clustering-based population methods
author: Luca Tigli
author: Fabio Schoen
published in: Computers \& Operations Research
publication date: 2021-05-21T00:00:00Z
Mathematics Subject Classification ID: 90Bxx
zbMATH DE Number: 7350550
zbMATH Keywords: global optimization
zbMATH Keywords: clustering methods
zbMATH Keywords: multi-level single-linkage
zbMATH Keywords: memetic algorithms
zbMATH Keywords: differential evolution
zbMATH Keywords: random projections
describes a project that uses: t-SNE
describes a project that uses: SNOPT
describes a project that uses: AMPL
describes a project that uses: Numba
describes a project that uses: UMAP
MaRDI profile type: Publication
full work available at URL: j.cor.2020.105165
OpenAlex ID: W3110979014
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DOI: 10.1016/J.COR.2020.105165
description: scientific article; zbMATH DE number 7350550