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LP-based Approximation Algorithms for Capacitated Facility Location

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Integer Programming and Combinatorial Optimization (IPCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3064))

Abstract

There has been a great deal of recent work on approximation algorithms for facility location problems [9]. We consider the capacitated facility location problem with hard capacities. We are given a set of facilities, \({\mathcal F}\), and a set of clients \({\mathcal D}\) in a common metric space. Each facility i has a facility opening costf i and capacityu i that specifies the maximum number of clients that may be assigned to this facility. We want to open some facilities from the set \({\mathcal F}\) and assign each client to an open facility so that at most u i clients are assigned to any open facility i. The cost of assigning client j to facility i is given by their distance c ij , and our goal is to minimize the sum of the facility opening costs and the client assignment costs.

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© 2004 Springer-Verlag Berlin Heidelberg

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Levi, R., Shmoys, D.B., Swamy, C. (2004). LP-based Approximation Algorithms for Capacitated Facility Location. In: Bienstock, D., Nemhauser, G. (eds) Integer Programming and Combinatorial Optimization. IPCO 2004. Lecture Notes in Computer Science, vol 3064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25960-2_16

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  • DOI: https://doi.org/10.1007/978-3-540-25960-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22113-5

  • Online ISBN: 978-3-540-25960-2

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