On the fuzzy maximal covering location problem
Optimization and Control
2021-01-12 v2
Abstract
In this paper studies the maximal covering location problem, assuming imprecise knowledge of all data involved. The considered problem is modeled from a fuzzy perspective producing suitable fuzzy Pareto solutions. Some properties of the fuzzy model are studied, which validate the equivalent mixed-binary linear multiobjective formulation proposed. A solution algorithm is developed, based on the augmented weighted Tchebycheff method, which produces solutions of guaranteed Pareto optimality. The effectiveness of the algorithm has been tested with a series of computational experiments, whose numerical results are presented and analyzed
Cite
@article{arxiv.1906.09161,
title = {On the fuzzy maximal covering location problem},
author = {Manuel Arana-Jiménez and Víctor Blanco and Elena Fernández},
journal= {arXiv preprint arXiv:1906.09161},
year = {2021}
}
Comments
24 pages, 3 figures, 4 tables