• DocumentCode
    1711020
  • Title

    Facility location with nonuniform hard capacities

  • Author

    Pal, Martin ; Tardos, Eva ; Wexler, Tom

  • Author_Institution
    Cornell Univ., Ithaca, NY, USA
  • fYear
    2001
  • Firstpage
    329
  • Lastpage
    338
  • Abstract
    The authors give the first constant factor approximation algorithm for the facility location problem with nonuniform, hard capacities. Facility location problems have received a great deal of attention in recent years. Approximation algorithms have been developed for many variants. Most of these algorithms are based on linear programming, but the LP techniques developed thus far have been unsuccessful in dealing with hard capacities. A local-search based approximation algorithm (M. Korupolu et al., 1998; F.A. Chudak and D.P. Williamson, 1999) is known for the special case of hard but uniform capacities. We present a local-search heuristic that yields an approximation guarantee of 9 + ε for the case of nonuniform hard capacities. To obtain this result, we introduce new operations that are natural in this context. Our proof is based on network flow techniques.
  • Keywords
    approximation theory; computational complexity; facility location; heuristic programming; search problems; LP techniques; approximation guarantee; constant factor approximation algorithm; facility location; linear programming; local-search based approximation algorithm; local-search heuristic; network flow techniques; nonuniform hard capacities; proof; special case; uniform capacities; Approximation algorithms; Capacity planning; Cost function; Linear programming; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2001. Proceedings. 42nd IEEE Symposium on
  • Print_ISBN
    0-7695-1116-3
  • Type

    conf

  • DOI
    10.1109/SFCS.2001.959907
  • Filename
    959907