Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/5159
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Drakulić, Darko | en |
dc.contributor.author | Takači, Aleksandar | en |
dc.contributor.author | Marić, Miroslav | en |
dc.date.accessioned | 2019-09-30T08:45:53Z | - |
dc.date.available | 2019-09-30T08:45:53Z | - |
dc.date.issued | 2016-01-01 | en |
dc.identifier.issn | 13359150 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/5159 | - |
dc.description.abstract | The 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.ispartof | Computing and Informatics | en |
dc.title | New model of maximal covering location problem with fuzzy conditions | en |
dc.type | Journal/Magazine Article | en |
dc.identifier.scopus | 2-s2.0-84989184455 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84989184455 | en |
dc.relation.lastpage | 652 | en |
dc.relation.firstpage | 635 | en |
dc.relation.issue | 3 | en |
dc.relation.volume | 35 | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Tehnološki fakultet, Katedra za opšte inženjerske discipline | - |
crisitem.author.orcid | 0009-0008-4279-8010 | - |
crisitem.author.parentorg | Tehnološki fakultet | - |
Appears in Collections: | TF Publikacije/Publications |
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