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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_US
dc.language.isoenen_US
dc.relation.ispartofComputing and Informaticsen_US
dc.subjectFuzzy conditionsen_US
dc.subjectMaximal Covering Location Problem (MCLP)en_US
dc.subjectParticle Swarm Optimization (PSO)en_US
dc.titleNew model of maximal covering location problem with fuzzy conditionsen_US
dc.typeArticleen_US
dc.identifier.scopus2-s2.0-84989184455-
dc.identifier.isi000382272600006-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84989184455-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.issn1335-9150en_US
dc.description.rankM23en_US
dc.relation.firstpage635en_US
dc.relation.lastpage652en_US
dc.relation.volume35en_US
dc.relation.issue3en_US
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0001-7446-0577-
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