NEW MODEL OF MAXIMAL COVERING LOCATION PROBLEM WITH FUZZY CONDITIONS
| dc.citation.epage | 652 | |
| dc.citation.spage | 635 | |
| dc.citation.volume | 35 | |
| dc.contributor.author | Drakulić, Darko | |
| dc.contributor.author | Takači, Aleksandar | |
| dc.contributor.author | Marić, Miroslav | |
| dc.date.accessioned | 2023-09-01T06:54:49Z | |
| dc.date.available | 2023-09-01T06:54:49Z | |
| dc.date.issued | 2016 | |
| 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 modi cations. 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 de ned, then Particle Swarm Optimization method for solving the problem is described and tested. | |
| dc.identifier.uri | https://vaseljena.ues.rs.ba/handle/123456789/642 | |
| dc.language.iso | en | |
| dc.publisher | Slovak Academy of Sciences | |
| dc.source | Computing and Informatics | |
| dc.subject | Maximal Covering Location Problem (MCLP), fuzzy conditions, Par- ticle Swarm Optimization (PSO) | |
| dc.title | NEW MODEL OF MAXIMAL COVERING LOCATION PROBLEM WITH FUZZY CONDITIONS | |
| dc.type | Article |
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