On the fuzzy maximal covering location problem
Identificadores
URI: https://hdl.handle.net/10481/87033Metadatos
Afficher la notice complèteEditorial
North-Holland
Materia
Location Maximal Covering Fuzzy Optimization Multiobjective Optimization
Date
2020-06Referencia bibliográfica
European Journal of Operational Research 283(2), 692-705
Patrocinador
MINECO/FEDER grants MTM2017-89577-P, MTM2015-63779-R, MTM2016-74983-C2-1-R.Résumé
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.