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Approximation algorithms for hard capacitated k-facility location problems

Author

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  • Aardal, Karen
  • van den Berg, Pieter L.
  • Gijswijt, Dion
  • Li, Shanfei

Abstract

We study the capacitated k-facility location problem, in which we are given a set of clients with demands, a set of facilities with capacities and a positive integer k. It costs fi to open facility i, and cij for facility i to serve one unit of demand from client j. The objective is to open at most k facilities serving all the demands and satisfying the capacity constraints while minimizing the sum of service and opening costs. In this paper, we give the first fully polynomial time approximation scheme (FPTAS) for the single-sink (single-client) capacitated k-facility location problem. Then, we show that the capacitated k-facility location problem with uniform capacities is solvable in polynomial time if the number of clients is fixed by reducing it to a collection of transportation problems. Third, we analyze the structure of extreme point solutions, and examine the efficiency of this structure in designing approximation algorithms for capacitated k-facility location problems. Finally, we extend our results to obtain an improved approximation algorithm for the capacitated facility location problem with uniform opening costs.

Suggested Citation

  • Aardal, Karen & van den Berg, Pieter L. & Gijswijt, Dion & Li, Shanfei, 2015. "Approximation algorithms for hard capacitated k-facility location problems," European Journal of Operational Research, Elsevier, vol. 242(2), pages 358-368.
    • Handle: RePEc:eee:ejores:v:242:y:2015:i:2:p:358-368
    DOI: 10.1016/j.ejor.2014.10.011
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    Cited by:

    1. Lai, Xiaofan & Xu, Zhou, 2016. "Improved algorithms for joint optimization of facility locations and network connections," European Journal of Operational Research, Elsevier, vol. 250(3), pages 745-753.
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    3. Lu Han & Dachuan Xu & Donglei Du & Dongmei Zhang, 2018. "A local search approximation algorithm for the uniform capacitated k-facility location problem," Journal of Combinatorial Optimization, Springer, vol. 35(2), pages 409-423, February.
    4. Haris Aziz & Hau Chan & Barton E. Lee & Bo Li & Toby Walsh, 2019. "Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives," Papers 1911.09813, arXiv.org.
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    6. Yanjun Jiang & Dachuan Xu & Donglei Du & Chenchen Wu & Dongmei Zhang, 2018. "An approximation algorithm for soft capacitated k-facility location problem," Journal of Combinatorial Optimization, Springer, vol. 35(2), pages 493-511, February.
    7. Faiz, Tasnim Ibn & Noor-E-Alam, Md, 2019. "Data center supply chain configuration design: A two-stage decision approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 119-135.
    8. Ortiz-Astorquiza, Camilo & Contreras, Ivan & Laporte, Gilbert, 2015. "Multi-level facility location as the maximization of a submodular set function," European Journal of Operational Research, Elsevier, vol. 247(3), pages 1013-1016.
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