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An Approximation Algorithm for the Dynamic k-level Facility Location Problem

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Algorithmic Aspects in Information and Management (AAIM 2019)

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Abstract

In this paper, we consider the dynamic k-level facility location problem, which is a generalization of the uncapacitated k-level facility location problem when considering time factor. We present a combinatorial primal-dual approximation algorithm for the problem which finds a solution within 6 times the optimum. This approximation ratio under a dynamic setting coincides with that of the simple dual ascent 6-approximation algorithm for the (static) multilevel facility location problem (Bumb, 2001) with a weak triangle inequality property.

Supported by National Natural Science Foundation of China (Grant Nos. 61425024, 11531011, 11771013, 11871081, 11871280, 11471003), and National Thousand Young Talents Program, and Qing Lan Project.

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References

  1. Aardal, K., Chudak, F.A., Shmoys, D.B.: A 3-approximation algorithm for the \(k\)-level uncapacitated facility location problem. Inf. Process. Lett. 72(5–6), 161–167 (1999)

    Article  MathSciNet  Google Scholar 

  2. Ageev, A., Ye, Y., Zhang, J.: Improved combinatorial approximation algorithms for the \(k\)-level facility location problem. SIAM J. Discrete Math. 18(1), 207–217 (2004)

    Article  MathSciNet  Google Scholar 

  3. Bumb, A., Kern, W.: A simple dual ascent algorithm for the multilevel facility location problem. In: Goemans, M., Jansen, K., Rolim, J.D.P., Trevisan, L. (eds.) APPROX/RANDOM -2001. LNCS, vol. 2129, pp. 55–63. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44666-4_10

    Chapter  Google Scholar 

  4. Cornuejols, G., Nemhauser, G.L., Wolsey, L.A.: The uncapacitated facility location problem. In: Mirchandani, P., Francis, R. (eds.) Discrete Location Theory, pp. 119–171. Wiley, New York (1990)

    Google Scholar 

  5. Guha, S., Khuller, S.: Greedy strikes back: improved facility location algorithms. J. Algorithms 31(1), 228–248 (1999)

    Article  MathSciNet  Google Scholar 

  6. Jain, K., Vazirani, V.V.: Approximation algorithms for metric facility location and k-median problems using the primal-dual schema and Lagrangian relaxation. J. ACM (JACM) 48(2), 274–296 (2001)

    Article  MathSciNet  Google Scholar 

  7. Mahdian, M., Ye, Y., Zhang, J.: Improved approximation algorithms for metric facility location problems. In: Jansen, K., Leonardi, S., Vazirani, V. (eds.) APPROX 2002. LNCS, vol. 2462, pp. 229–242. Springer, Heidelberg (2002). https://doi.org/10.1007/3-540-45753-4_20

    Chapter  MATH  Google Scholar 

  8. Meyerson, A., Munagala, K., Plotkin, S.: Cost-distance: two metric network design. In: Proceedings 41st Annual Symposium on Foundations of Computer Science, pp. 624–630. IEEE (2000)

    Google Scholar 

  9. Shmoys, D.B., Aardal, K.I.: Approximation algorithms for facility location problems, vol. 1997. Utrecht University: Information and Computing Sciences (1997)

    Google Scholar 

  10. Van Roy, T.J., Erlenkotter, D.: A dual-based procedure for dynamic facility location. Manag. Sci. 28(10), 1091–1105 (1982)

    Article  Google Scholar 

  11. Wang, Z., Du, D., Xu, D.: A primal-dual approximation algorithm for the k-level stochastic facility location problem. In: Chen, B. (ed.) AAIM 2010. LNCS, pp. 253–260. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14355-7_26

    Chapter  Google Scholar 

  12. Xu, D., Du, D.: The k-level facility location game. Oper. Res. Lett. 34(4), 421–426 (2006)

    Article  MathSciNet  Google Scholar 

  13. Ye, Y., Zhang, J.: An approximation algorithm for the dynamic facility location problem. In: Cheng, M.X., Li, Y., Du, D.Z. (eds.) Combinatorial Optimization in Communication Networks, vol. 18, pp. 623–637. Springer, Boston (2006). https://doi.org/10.1007/0-387-29026-5_22

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Correspondence to Xiaoyan Zhang .

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Wang, L., Zhang, Z., Xu, D., Zhang, X. (2019). An Approximation Algorithm for the Dynamic k-level Facility Location Problem. In: Du, DZ., Li, L., Sun, X., Zhang, J. (eds) Algorithmic Aspects in Information and Management. AAIM 2019. Lecture Notes in Computer Science(), vol 11640. Springer, Cham. https://doi.org/10.1007/978-3-030-27195-4_26

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  • DOI: https://doi.org/10.1007/978-3-030-27195-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27194-7

  • Online ISBN: 978-3-030-27195-4

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