Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/452
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dc.contributor.authorStanimirović, Zoricaen_US
dc.date.accessioned2022-08-13T09:27:52Z-
dc.date.available2022-08-13T09:27:52Z-
dc.date.issued2010-01-01-
dc.identifier.issn13359150en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/452-
dc.description.abstractIn this paper the Capacitated Single Allocation p-Hub Median Problem (CSApHMP) is considered. This problem has a wide range of applications within the design of telecommunication and transportation systems. A heuristic method, based on a genetic algorithm (GA) approach, is proposed for solving the CSApHMP. The described algorithm uses binary encoding and modified genetic operators. The caching technique is also implemented in the GA in order to improve its effectiveness. Computational experiments demonstrate that the GA method quickly reaches optimal solutions for hub instances with up to 50 nodes. The algorithm is also benchmarked on large scale hub instances with up to 200 nodes that are not solved to optimality so far.en
dc.relation.ispartofComputing and Informaticsen
dc.subjectEnvomputationen
dc.subjectGraph and network algorithmsen
dc.subjectNetwork optimizationen
dc.subjectRandomized algorithmsen
dc.titleA genetic algorithm approach for the capacitated single allocation p-hub median problemen_US
dc.typeArticleen_US
dc.identifier.scopus2-s2.0-77951904824-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77951904824-
dc.contributor.affiliationNumerical Mathematics and Optimizationen_US
dc.relation.firstpage117en
dc.relation.lastpage132en
dc.relation.volume29en
dc.relation.issue1en
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptNumerical Mathematics and Optimization-
crisitem.author.orcid0000-0001-5658-4111-
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