New Model of Maximal Covering Location Problem with Fuzzy Conditions

Authors

  • 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

Keywords:

Maximal Covering Location Problem (MCLP), fuzzy conditions, Particle Swarm Optimization (PSO)

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.

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Author Biography

Aleksandar Takači, Faculty of Technology, University of Novi Sad

Associate professor

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Published

2016-11-02

How to Cite

Drakulić, D., Takači, A., & Marić, M. (2016). New Model of Maximal Covering Location Problem with Fuzzy Conditions. Computing and Informatics, 35(3), 635–652. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/1883

Issue

Vol. 35 No. 3 (2016): Computing and Informatics

Section

Articles