Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm
type: Item
instance of: scholarly article
title: Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm
zbMATH Open document ID: 1251.90358
author: Karthik Sindhya
author: Kalyanmoy Deb
author: Kaisa Miettinen
published in: Natural Computing
publication date: 2012-11-15T00:00:00Z
full work available at URL: http://urn.kb.se/resolve
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6107153
zbMATH Keywords: multicriteria optimization
zbMATH Keywords: multiple criteria decision making
zbMATH Keywords: Pareto optimality
zbMATH Keywords: evolutionary algorithms
zbMATH Keywords: hybrid algorithms
zbMATH Keywords: achievement scalarizing functions
zbMATH Keywords: NSGA-II
describes a project that uses: SPEA2
describes a project that uses: KNITRO
MaRDI profile type: Publication
OpenAlex ID: W2103073782
Wikidata QID: Q109314770
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DOI: 10.1007/S11047-011-9250-4
description: scientific article; zbMATH DE number 6107153