New Model of Maximal Covering Location Problem with Fuzzy Conditions

In: Computing and Informatics, vol. 35, no. 3

D. Drakulić - A. Takači - M. Marić

Details:

Year, pages: 2016, 635 - 652

Keywords:

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

About article:

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.

How to cite:

ISO 690:

Drakulić, D., Takači, A., Marić, M. 2016. New Model of Maximal Covering Location Problem with Fuzzy Conditions. In Computing and Informatics, vol. 35, no.3, pp. 635-652. 1335-9150.

APA:

Drakulić, D., Takači, A., Marić, M. (2016). New Model of Maximal Covering Location Problem with Fuzzy Conditions. Computing and Informatics, 35(3), 635-652. 1335-9150.