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Approximation Algorithms for Bounded Facility Location

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Book cover Computing and Combinatorics (COCOON 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1627))

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Abstract

The bounded k-median problem is to select in an undirected graph G = (V,E) a set S of k vertices such that the maximum distance from a vertex vV to S is at most a given bound d and the average distance from vertices V to S is minimized. We present randomized algorithms for several versions of this problem. We also study the bounded version of the uncapacitated facility location problem. For this latter problem we present extensions of known deterministic algorithms for the unbounded version, and we prove some inapproximability results.

This work was supported in part by EU ESPRIT LTR No. 20244 (ALCOM-IT).

Supported by DFG Graduiertenkolleg Informatik, Universität des Saarlandes.

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References

  1. S. Arora, P. Raghavan and S. Rao, Approximation schemes for Euclidean k-medians and related problems, Proceedings of the 30th Annual ACM Symposium on Theory of Computing, 106–113, 1998.

    Google Scholar 

  2. O. Berman and E.K. Yang, Medi-center location problems, Journal of the Operational Research Society, 42, 313–322, 1991.

    Article  MATH  Google Scholar 

  3. M. Charikar, Ch. Chekuri, A. Goel and S. Guha, Rounding via trees: deterministic approximation algorithms for group steiner trees and k-median, Proceedings of the 30th Annual ACM Symposium on Theory of Computing, 114–123, 1998.

    Google Scholar 

  4. M. Charikar, S. Guha, É. Tardos, and D.B. Shmoys, A constant-factor approximation algorithm for the k-median problem, to appear in the Proceedings of the 31st ACM Symposium on Theory of Computing, 1999.

    Google Scholar 

  5. S. Chaudhuri, N. Garg and R. Ravi, The p-neighbor k-center problem, Information Processing Letters, 65, 131–134, 1998.

    Article  MathSciNet  Google Scholar 

  6. I.C. Choi and S.S. Chaudhry, The p-median problem with maximum distance constraints: a direct approach, Location Science, 1, 235–243, 1993.

    MATH  Google Scholar 

  7. F. Chudak, Improved approximation algorithms for uncapacitated facility location, in Integer Programming and Combinatorial Optimization, volume 1412 of Lecture Notes in Computer Science, 180–194, 1998.

    Chapter  Google Scholar 

  8. G. Cornuejols, G.L. Nemhauser, and L.A. Wolsey, The uncapacitated facility location problem, in Discrete Location Theory (Mirchandani and Francis, editors), Wiley, New York, pp. 119–171, 1990.

    Google Scholar 

  9. Z. Drezner, editor, Facility location. A survey of applications and methods, Springer-Verlag, New York, 1995.

    Google Scholar 

  10. U. Feige, A threshold of ln n for approximating set cover, Proceedings of the 28th Annual ACM Symposium on Theory of Computing, 314–318, 1996.

    Google Scholar 

  11. S. Guha and S. Khuller, Greedy strikes back: improved facility location algorithms, Proceedings of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms, 649–657, 1998.

    Google Scholar 

  12. D.S. Hochbaum, Various notions of approximations: good, better, best, and more, in Approximation Algorithms for NP-hard Problems (D. Hochbaum, editor), PWS Company, Boston, 1997.

    Google Scholar 

  13. D.S. Hochbaum and D.B. Shmoys, A unified approach to approximation algorithms for bottleneck problems, Journal of the ACM, 33, 533–550, 1986.

    Article  MathSciNet  Google Scholar 

  14. A.K. Jain and R.C. Dubes, Algorithms for clustering data, Prentice Hall, 1981.

    Google Scholar 

  15. S. Khuller, R. Pless and Y. J. Sussmann, Fault tolerant k-center problems, to appear in Theoretical Computer Science, 1999.

    Google Scholar 

  16. J.H. Lin and J.S. Vitter, ∈-approximations with minimum packing constraint violation, Proceedings 24th ACM Symposium on Theory of Computing, 771–782.

    Google Scholar 

  17. J.H. Lin and J.S. Vitter, Approximation algorithms for geometric median problems, Information Processing Letters, 44, 245–249, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  18. D.B. Shmoys, É. Tardos, and K. Aardal, Approximation algorithms for facility location problems, Proceedings of the 29th ACM Symposium on Theory of Computing, 265–274, 1997.

    Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Krysta, P., Solis-Oba, R. (1999). Approximation Algorithms for Bounded Facility Location. In: Asano, T., Imai, H., Lee, D.T., Nakano, Si., Tokuyama, T. (eds) Computing and Combinatorics. COCOON 1999. Lecture Notes in Computer Science, vol 1627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48686-0_24

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  • DOI: https://doi.org/10.1007/3-540-48686-0_24

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  • Print ISBN: 978-3-540-66200-6

  • Online ISBN: 978-3-540-48686-2

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