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.
Publié le : 2016-11-02
Classification:
other areas of Computing and Informatics,
Maximal Covering Location Problem (MCLP), fuzzy conditions, Particle Swarm Optimization (PSO),
93A30, 90C27, 90C59
@article{cai1883,
author = {Darko Drakuli\'c; University of East Sarajevo, Faculty of Philosophy, 71420 Pale and Aleksandar Taka\v ci; Faculty of Technology, University of Novi Sad and Miroslav Mari\'c; University of Belgrade, Faculty of Mathematics},
title = {New Model of Maximal Covering Location Problem with Fuzzy Conditions},
journal = {Computing and Informatics},
volume = {34},
number = {4},
year = {2016},
language = {en},
url = {http://dml.mathdoc.fr/item/cai1883}
}
Darko Drakulić; University of East Sarajevo, Faculty of Philosophy, 71420 Pale; Aleksandar Takači; Faculty of Technology, University of Novi Sad; Miroslav Marić; University of Belgrade, Faculty of Mathematics. New Model of Maximal Covering Location Problem with Fuzzy Conditions. Computing and Informatics, Tome 34 (2016) no. 4, . http://gdmltest.u-ga.fr/item/cai1883/