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Technical Note—Computational Comparison among Three Multicommodity Network Flow Algorithms

Author

Listed:
  • A. Ali

    (Southern Methodist University, Dallas, Texas)

  • R. Helgason

    (Southern Methodist University, Dallas, Texas)

  • J. Kennington

    (Southern Methodist University, Dallas, Texas)

  • H. Lall

    (Southern Methodist University, Dallas, Texas)

Abstract

This note presents our computational experience using specialized techniques for solving multicommodity network flow problems. The algorithms investigated include a price-directive decomposition procedure, a resource-directive decomposition procedure using subgradient optimization, and a primal partitioning procedure.

Suggested Citation

  • A. Ali & R. Helgason & J. Kennington & H. Lall, 1980. "Technical Note—Computational Comparison among Three Multicommodity Network Flow Algorithms," Operations Research, INFORMS, vol. 28(4), pages 995-1000, August.
    • Handle: RePEc:inm:oropre:v:28:y:1980:i:4:p:995-1000
    DOI: 10.1287/opre.28.4.995
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    Cited by:

    1. Rina R. Schneur & James B. Orlin, 1998. "A Scaling Algorithm for Multicommodity Flow Problems," Operations Research, INFORMS, vol. 46(2), pages 231-246, April.
    2. Zhang, Bin & Hua, Zhongsheng, 2008. "A unified method for a class of convex separable nonlinear knapsack problems," European Journal of Operational Research, Elsevier, vol. 191(1), pages 1-6, November.
    3. Castro, J. & Nabona, N., 1996. "An implementation of linear and nonlinear multicommodity network flows," European Journal of Operational Research, Elsevier, vol. 92(1), pages 37-53, July.

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