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Exact and heuristic algorithms for the uncapacitated multiple allocation p-hub median problem
Institution:1. Departamento de Matemática-CMA, Faculdade de Ciências e Tecnologia, Universidade Nova Lisboa, Caparica 2829-516, Portugal;2. Institute of Operations Research, Karlsruhe Institute of Technology (KIT), Department of Logistics and Supply Chain Optimization, Research Center for Information Technology (FZI), Karlsruhe, Germany;3. Universidade de Lisboa, Faculdade de Ciências, Departamento de Estatística e Investigação Operacional e Centro de Matemática, Aplicações Fundamentais e Investigação Operacional, Bloco C6, Piso 4, 1749-016 Lisboa, Portugal
Abstract:In this paper new MILP formulations for the multiple allocation p-hub median problem are presented. These require fewer variables and constraints than those traditionally used in the literature. An efficient heuristic algorithm, based on shortest paths, is described. LP based solution methods as well as an explicit enumeration algorithm are developed to obtain exact solutions. Computational results are presented for well known problems from the literature which show that exact solutions can be found in a reasonable amount of computational time. Our algorithms are also benchmarked on a different data set. This data set, which includes problems that are larger than those used in the literature, is based on a postal delivery network and has been treated by the authors in an earlier paper.
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