Objective extraction via fuzzy clustering in evolutionary many-objective optimization
type: Item
instance of: scholarly article
title: Objective extraction via fuzzy clustering in evolutionary many-objective optimization
zbMATH Open document ID: 1456.90154
author: Aimin Zhou
author: Yirui Wang
author: Jinyuan Zhang
published in: Information Sciences
publication date: 2021-03-18T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 7324654
zbMATH Keywords: many-objective optimization
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: fuzzy clustering
describes a project that uses: MOEA/D
describes a project that uses: RM-MEDA
describes a project that uses: DECOR
describes a project that uses: SMS-EMOA
MaRDI profile type: Publication
full work available at URL: j.ins.2018.11.032
OpenAlex ID: W2900458376
cites work: SMS-EMOA: multiobjective selection based on dominated hypervolume
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Q5701623
cites work: Evolutionary Multi-Criterion Optimization
cites work: Nonlinear multiobjective optimization
cites work: Approximate non-dominated sorting for evolutionary many-objective optimization
Wikidata QID: Q128985021
DOI: 10.1016/J.INS.2018.11.032
description: scientific article; zbMATH DE number 7324654