Please use this identifier to cite or link to this item:
https://research.matf.bg.ac.rs/handle/123456789/569
Title: | New model of maximal covering location problem with fuzzy conditions | Authors: | Drakulić, Darko Takači, Aleksandar Marić, Miroslav |
Affiliations: | Informatics and Computer Science | Keywords: | Fuzzy conditions;Maximal Covering Location Problem (MCLP);Particle Swarm Optimization (PSO) | Issue Date: | 1-Jan-2016 | Journal: | Computing and Informatics | 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. |
URI: | https://research.matf.bg.ac.rs/handle/123456789/569 | ISSN: | 13359150 |
Appears in Collections: | Research outputs |
Show full item record
SCOPUSTM
Citations
10
checked on Nov 8, 2024
Page view(s)
11
checked on Nov 15, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.