期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 283, 期 2, 页码 692-705出版社
ELSEVIER
DOI: 10.1016/j.ejor.2019.11.036
关键词
Location; Maximal Covering; Fuzzy Optimization; Multiobjective Optimization
资金
- Spanish Ministry of Economy and Competitiveness through MINECO/FEDER [MTM2017-89577-P, MTM2015-63779-R, MTM2016-74983-C2-1-R]
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. (C) 2019 Elsevier B.V. All rights reserved.
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