New fitness sharing approach for multi-objective genetic algorithms
type: Item
instance of: scholarly article
title: New fitness sharing approach for multi-objective genetic algorithms
zbMATH Open document ID: 1268.90147
author: Hyoungjin Kim
author: Meng-Sing Liou
published in: Journal of Global Optimization
publication date: 2013-04-08T00:00:00Z
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 6151471
zbMATH Keywords: genetic algorithms
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: niching
zbMATH Keywords: sharing function
describes a project that uses: SMS-EMOA
describes a project that uses: SPEA2
describes a project that uses: PISA
describes a project that uses: HypE
MaRDI profile type: Publication
full work available at URL: s10898-012-9966-4
OpenAlex ID: W1980216074
cites work: Q4424300
cites work: SMS-EMOA: multiobjective selection based on dominated hypervolume
cites work: Evolutionary Algorithms for Solving Multi-Objective Problems
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Q4868589
cites work: Q4424322
cites work: Q5705245
cites work: Q5701623
DOI: 10.1007/S10898-012-9966-4
description: scientific article; zbMATH DE number 6151471