Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
type: Item
instance of: scholarly article
title: Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations
zbMATH Open document ID: 1456.90141
author: Huangke Chen
author: Ran Cheng
author: Jinming Wen
author: Jian Weng
author: Haifeng Li
published in: Information Sciences
publication date: 2021-03-18T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7324660
zbMATH Keywords: evolutionary algorithm
zbMATH Keywords: CMA-ES
zbMATH Keywords: large-scale multi-objective optimization
zbMATH Keywords: many-objective optimization
zbMATH Keywords: scalable populations
describes a project that uses: MOEA/D
describes a project that uses: CMA-ES
describes a project that uses: HypE
describes a project that uses: PlatEMO
MaRDI profile type: Publication
full work available at URL: j.ins.2018.10.007
OpenAlex ID: W2897208679
cites work: Bi-goal evolution for many-objective optimization problems
cites work: Preference-inspired co-evolutionary algorithms using weight vectors
Wikidata QID: Q129159336
DOI: 10.1016/J.INS.2018.10.007
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description: scientific article; zbMATH DE number 7324660