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Improved Approximation Algorithms for Metric Facility Location Problems

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Approximation Algorithms for Combinatorial Optimization (APPROX 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2462))

Abstract

In this paper we present a 1.52-approximation algorithm for the uncapacitated metric facility location problem. This algorithm uses an idea of cost scaling, a greedy algorithm of Jain, Mahdian and Saberi, and a greedy augmentation procedure of Charikar, Guha and Khuller. We also present a 2.89-approximation for the capacitated metric facility location problem with soft capacities.

Research supported in part by NSF grants DMI-9908077.

Research supported in part by NSF grants DMI-9908077 through Yinyu Ye.

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References

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© 2002 Springer-Verlag Berlin Heidelberg

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Mahdian, M., Ye, Y., Zhang, J. (2002). Improved Approximation Algorithms for Metric Facility Location Problems. In: Jansen, K., Leonardi, S., Vazirani, V. (eds) Approximation Algorithms for Combinatorial Optimization. APPROX 2002. Lecture Notes in Computer Science, vol 2462. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45753-4_20

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  • DOI: https://doi.org/10.1007/3-540-45753-4_20

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  • Print ISBN: 978-3-540-44186-1

  • Online ISBN: 978-3-540-45753-4

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