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A method for solving to optimality uncapacitated location problems
Authors:Roberto Diéguez Galvão  Luiz Aurélio Raggi
Institution:(1) Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;(2) Federal University of Viçosa, Viçosa, Minas Gerais, Brazil
Abstract:In this paper we develop a method for solving to optimality a general 0–1 formulation for uncapacitated location problems. This is a 3-stage method that solves large problems in reasonable computing times.The 3-stage method is composed of a primal-dual algorithm, a subgradient optimization to solve a Lagrangean dual and a branch-and-bound algorithm. It has a hierarchical structure, with a given stage being activated only if the optimal solution could not be identified in the preceding stage.The proposed method was used in the solution of three well-known uncapacitated location problems: the simple plant location problem, thep-median problem and the fixed-chargep-median problem. Computational results are given for problems of up to the size 200 customers ×200 potential facility sites.
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