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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/447
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dc.contributor.authorMarić, Miroslaven_US
dc.contributor.authorStanimirović, Zoricaen_US
dc.contributor.authorDjenić, Aleksandaren_US
dc.contributor.authorStanojević, Predragen_US
dc.date.accessioned2022-08-13T09:27:51Z-
dc.date.available2022-08-13T09:27:51Z-
dc.date.issued2014-01-01-
dc.identifier.issn08684952en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/447-
dc.description.abstractWe consider the Multilevel Uncapacitated Facility Location Problem (MLUFLP) and propose a new efficient integer programming formulation of the problem that provides optimal solutions for the MLUFLP test instances unsolved to optimality up to now. Further, we design a parallel Memetic Algorithm (MA) with a new strategy for applying the local search improvement within the MA frame. The conducted computational experiments show that the proposed MA quickly reaches all known optimal and best known solutions from the literature and additionally improves several solutions for large-scale MLUFLP test problems.en
dc.relation.ispartofInformatica (Netherlands)en
dc.subjectfacility locationen
dc.subjecthierarchical problemsen
dc.subjectmemetic algorithmen
dc.subjectnetwork designen
dc.subjectparallelizationen
dc.titleMemetic algorithm for solving the multilevel uncapacitated facility location problemen_US
dc.typeArticleen_US
dc.identifier.doi10.15388/Informatica.2014.23-
dc.identifier.scopus2-s2.0-84907935181-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84907935181-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.contributor.affiliationNumerical Mathematics and Optimizationen_US
dc.relation.firstpage439en
dc.relation.lastpage466en
dc.relation.volume25en
dc.relation.issue3en
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.deptNumerical Mathematics and Optimization-
crisitem.author.orcid0000-0001-7446-0577-
crisitem.author.orcid0000-0001-5658-4111-
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