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dc.contributor.authorKratica, Jozefen
dc.contributor.authorStanimirović, Zoricaen
dc.date.accessioned2020-04-26T19:14:56Z-
dc.date.available2020-04-26T19:14:56Z-
dc.date.issued2006-12-01en
dc.identifier.issn0217-5959en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/506-
dc.description.abstractIn this paper we describe a genetic algorithm (GA) for the uncapacitated multiple allocation p-hub center problem (UMApHCP). Binary coding is used and genetic operators adapted to the problem are constructed and implemented in our GA. Computational results are presented for the standard hub instances from the literature. It can be seen that proposed GA approach reaches all solutions that are proved to be optimal so far. The solutions are obtained in a reasonable amount of computational time, even for problem instances of higher dimensions.en
dc.publisherWorld Scientific-
dc.relationSerbian Ministry of Science and Ecology, Grant no. 144015G-
dc.relation.ispartofAsia-Pacific Journal of Operational Researchen
dc.subjectDiscrete location problems | Genetic algorithms | P-hub center problemen
dc.titleSolving the uncapacitated multiple allocation p-hub center problem by genetic algorithmen
dc.typeArticleen
dc.identifier.doi10.1142/S0217595906001042en
dc.identifier.scopus2-s2.0-33846332738en
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage425en
dc.relation.lastpage437en
dc.relation.issue4en
dc.relation.volume23en
dc.description.rankM23-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.orcid0000-0002-9752-0971-
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