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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/666
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dc.contributor.authorKratica, Jozefen_US
dc.contributor.authorTošic, Dušanen_US
dc.contributor.authorFilipović, Vladimiren_US
dc.contributor.authorLjubić, Ivanaen_US
dc.date.accessioned2022-08-14T09:49:35Z-
dc.date.available2022-08-14T09:49:35Z-
dc.date.issued2001-01-01-
dc.identifier.issn03990559en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/666-
dc.description.abstractThe simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms. © EDP Sciences 2001.en_US
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.ispartofRAIRO - Operations Researchen_US
dc.subjectCombinatorial optimizationen_US
dc.subjectGenetic algorithmsen_US
dc.subjectSimple plant location problemen_US
dc.titleSolving the simple plant location problem by genetic algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1051/ro:2001107-
dc.identifier.scopus2-s2.0-0034970081-
dc.identifier.isi000168984500008-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0034970081-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.issn0399-0559en_US
dc.description.rankM22en_US
dc.relation.firstpage127en_US
dc.relation.lastpage142en_US
dc.relation.volume35en_US
dc.relation.issue1en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeArticle-
item.languageiso639-1en-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-5943-8037-
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