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dc.contributor.authorKratica, Jozefen
dc.contributor.authorTošić, Dušanen
dc.contributor.authorFilipović, Vladimiren
dc.contributor.authorDugošija, Đorđeen
dc.date.accessioned2020-04-26T19:14:54Z-
dc.date.available2020-04-26T19:14:54Z-
dc.date.issued2011-12-01en
dc.identifier.issn0354-0243en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/493-
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.publisherFaculty of Organizational Sciences-
dc.relationMathematical Modelas and Optimization Methods on Large-Scale Systems-
dc.relation.ispartofYugoslav Journal of Operations Researchen
dc.subjectCombinatorial optimization | Evolutionary computation | Genetic algorithm | Quadratic assignment problemen
dc.titleA new genetic representation for quadratic assignment problemen
dc.typeArticleen
dc.identifier.doi10.2298/YJOR1102225Ken
dc.identifier.scopus2-s2.0-84880818121en
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage225en
dc.relation.lastpage238en
dc.relation.issue2en
dc.relation.volume21en
dc.description.rankM51-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0002-9752-0971-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/174010e.php-
crisitem.project.fundingProgramDirectorate for Engineering-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NSF/Directorate for Engineering/1740103-
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