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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/569
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dc.contributor.authorDrakulić, Darkoen_US
dc.contributor.authorTakači, Aleksandaren_US
dc.contributor.authorMarić, Miroslaven_US
dc.date.accessioned2022-08-13T14:52:02Z-
dc.date.available2022-08-13T14:52:02Z-
dc.date.issued2016-01-01-
dc.identifier.issn13359150en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/569-
dc.description.abstractThe objective of Maximal Covering Location Problem is locating facilities such that they cover the maximal number of locations in a given radius or travel time. MCLP is applied in many different real-world problems with several modifications. In this paper a new model of MCLP with fuzzy conditions is presented. It uses two types of fuzzy numbers for describing two main parameters of MCLP - coverage radius and distances between locations. First, the model is defined, then Particle Swarm Optimization method for solving the problem is described and tested.en
dc.relation.ispartofComputing and Informaticsen
dc.subjectFuzzy conditionsen
dc.subjectMaximal Covering Location Problem (MCLP)en
dc.subjectParticle Swarm Optimization (PSO)en
dc.titleNew model of maximal covering location problem with fuzzy conditionsen_US
dc.typeArticleen_US
dc.identifier.scopus2-s2.0-84989184455-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84989184455-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage635en
dc.relation.lastpage652en
dc.relation.volume35en
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.orcid0000-0001-7446-0577-
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