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Improved Approximation Algorithm for Connected Facility Location Problems

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Combinatorial Optimization and Applications (COCOA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4616))

Abstract

We study the Connected Facility Location problems. We are given a connected graph G = (V, E) with non-negative edge cost c e for each edge e ∈ E, a set of clients D ⊆ V such that each client j ∈ D has positive demand d j and a set of facilities F ⊆ V each has non-negative opening cost f i and capacity to serve all client demands. The objective is to open a subset of facilities, say \(\hat F\), to assign each client j ∈ D to exactly one open facility i(j) and to connect all open facilities by a Steiner tree T such that the cost \(\sum_{i \in \hat F} f_i + \sum_{j \in D} d_j c_{i(j)j}+M\sum_{e \in T}c_e\) is minimized. We propose a LP-rounding based 8.29 approximation algorithm which improves the previous bound 8.55. We also consider the problem when opening cost of all facilities are equal. In this case we give a 7.0 approximation algorithm.

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Andreas Dress Yinfeng Xu Binhai Zhu

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© 2007 Springer-Verlag Berlin Heidelberg

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Hasan, M.K., Jung, H., Chwa, KY. (2007). Improved Approximation Algorithm for Connected Facility Location Problems. In: Dress, A., Xu, Y., Zhu, B. (eds) Combinatorial Optimization and Applications. COCOA 2007. Lecture Notes in Computer Science, vol 4616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73556-4_33

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  • DOI: https://doi.org/10.1007/978-3-540-73556-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73555-7

  • Online ISBN: 978-3-540-73556-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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