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
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