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dc.contributor.authorKratica, Jozefen
dc.contributor.authorKostić, Tijanaen
dc.contributor.authorTošić, Dušanen
dc.contributor.authorDugošija, Đorđeen
dc.contributor.authorFilipović, Vladimiren
dc.date.accessioned2020-04-26T19:14:54Z-
dc.date.available2020-04-26T19:14:54Z-
dc.date.issued2012-01-01en
dc.identifier.issn1820-0214en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/492-
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.publisherComSIS Consortium-
dc.relationMathematical Modelas and Optimization Methods on Large-Scale Systems-
dc.relation.ispartofComputer Science and Information Systemsen
dc.subjectCombinatorial optimization | Evolutionary computation | Genetic algorithm | Vehicle routing problemsen
dc.titleA genetic algorithm for the routing and carrier selection problemen
dc.typeArticleen
dc.identifier.doi10.2298/CSIS100425067Ken
dc.identifier.scopus2-s2.0-84858685919en
dc.contributor.affiliationMathematical Institute of the Serbian Academy of Sciences and Arts-
dc.relation.firstpage49en
dc.relation.lastpage62en
dc.relation.issue1en
dc.relation.volume9en
dc.description.rankM23-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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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