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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/669
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dc.contributor.authorKratica, Jozefen_US
dc.contributor.authorTošić, Dušanen_US
dc.contributor.authorFilipović, Vladimiren_US
dc.contributor.authorDugošija, Dordeen_US
dc.date.accessioned2022-08-14T09:49:35Z-
dc.date.available2022-08-14T09:49:35Z-
dc.date.issued2011-12-01-
dc.identifier.issn03540243en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/669-
dc.description.abstractIn this paper, we propose a new genetic encoding for well known Quadratic Assignment Problem (QAP). The new encoding schemes are implemented with appropriate objective function and modified genetic operators. The numerical experiments were carried out on the standard QAPLIB data sets known from the literature. The presented results show that in all cases proposed genetic algorithm reached known optimal solutions in reasonable time.en
dc.relation.ispartofYugoslav Journal of Operations Researchen
dc.subjectCombinatorial optimizationen
dc.subjectEvolutionary computationen
dc.subjectGenetic algorithmen
dc.subjectQuadratic assignment problemen
dc.titleA new genetic representation for quadratic assignment problemen_US
dc.typeArticleen_US
dc.identifier.doi10.2298/YJOR1102225K-
dc.identifier.scopus2-s2.0-84880818121-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84880818121-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage225en
dc.relation.lastpage238en
dc.relation.volume21en
dc.relation.issue2en
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-5943-8037-
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