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dc.contributor.authorLorena, Luiz A. N.-
dc.contributor.authorSenne, Edson Luiz França-
dc.identifier.citationComputers & Operations Research. Oxford: Pergamon-Elsevier B.V., v. 31, n. 6, p. 863-876, 2004.-
dc.description.abstractThe Capacitated p-median problem (CPMP) seeks to solve the optimal location of p facilities, considering distances and capacities for the service to be given by each median. In this paper we present a column generation approach to CPMP. The identified restricted master problem optimizes the covering of 1-median clusters satisfying the capacity constraints, and new columns are generated considering knapsack subproblems. The Lagrangean/surrogate relaxation has been used recently to accelerate subgradient like methods. In this work the Lagrangean/surrogate relaxation is directly identified from the master problem dual and provides new bounds and new productive columns through a modified knapsack subproblem. The overall column generation process is accelerated, even when multiple pricing is observed. Computational tests are presented using instances taken from real data from Sao Jose dos Campos' city.en
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectlocation problemspt
dc.subjectcapacitated p-median problemspt
dc.subjectcolumn generationpt
dc.subjectlagrangean/surrogate relaxationpt
dc.titleA column generation approach to capacitated p-median problemsen
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationInst Nacl Pesquisas Espaciais, Lab Associado Computaco & Matemat Aplicada, BR-12245970 Sao Jose Dos Campos, SP, Brazil-
dc.description.affiliationUniv Estadual Paulista, FEG, Fac Engn, Dept Matemat, BR-12515410 Guaratingueta, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, FEG, Fac Engn, Dept Matemat, BR-12515410 Guaratingueta, SP, Brazil-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofComputers & Operations Research-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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