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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/670
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dc.contributor.authorKratica, Jozefen_US
dc.contributor.authorKostić, Tijanaen_US
dc.contributor.authorTǒsić, Dušanen_US
dc.contributor.authorDugǒsija, Djordjeen_US
dc.contributor.authorFilipović, Vladimiren_US
dc.date.accessioned2022-08-14T09:49:36Z-
dc.date.available2022-08-14T09:49:36Z-
dc.date.issued2012-01-01-
dc.identifier.issn18200214en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/670-
dc.description.abstractIn this paper we present new evolutionary approach for solving the Routing and Carrier Selection Problem (RCSP). New encoding scheme is implemented with appropriate objective function. This approach in most cases keeps the feasibility of individuals by using specific representation and modified genetic operators. The numerical experiments were carried out on the standard data sets known from the literature and results were successful comparing to two other recent heuristic for solving RCSP.en
dc.relation.ispartofComputer Science and Information Systemsen
dc.subjectCombinatorial optimizationen
dc.subjectEvolutionary computationen
dc.subjectGenetic algorithmen
dc.subjectVehicle routing problemsen
dc.titleA genetic algorithm for the routing and carrier selection problemen_US
dc.typeArticleen_US
dc.identifier.doi10.2298/CSIS100425067K-
dc.identifier.scopus2-s2.0-84858685919-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84858685919-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage49en
dc.relation.lastpage62en
dc.relation.volume9en
dc.relation.issue1en
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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