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Comparing branch-and-price algorithms for the Multi-Commodity k-splittable Maximum Flow Problem

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  • Gamst, M.
  • Petersen, B.

Abstract

The Multi-Commodity k-splittable Maximum Flow Problem consists in routing as much flow as possible through a capacitated network such that each commodity uses at most k paths and the capacities are satisfied. The problem appears in telecommunications, specifically when considering Multi-Protocol Label Switching. The problem has previously been solved to optimality through branch-and-price. In this paper we propose two exact solution methods both based on an alternative decomposition. The two methods differ in their branching strategy. The first method, which branches on forbidden edge sequences, shows some performance difficulty due to large search trees. The second method, which branches on forbidden and forced edge sequences, demonstrates much better performance. The latter also outperforms a leading exact solution method from the literature. Furthermore, a heuristic algorithm is presented. The heuristic is fast and yields good solution values.

Suggested Citation

  • Gamst, M. & Petersen, B., 2012. "Comparing branch-and-price algorithms for the Multi-Commodity k-splittable Maximum Flow Problem," European Journal of Operational Research, Elsevier, vol. 217(2), pages 278-286.
    • Handle: RePEc:eee:ejores:v:217:y:2012:i:2:p:278-286
    DOI: 10.1016/j.ejor.2011.10.001
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    References listed on IDEAS

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    1. Cynthia Barnhart & Christopher A. Hane & Pamela H. Vance, 2000. "Using Branch-and-Price-and-Cut to Solve Origin-Destination Integer Multicommodity Flow Problems," Operations Research, INFORMS, vol. 48(2), pages 318-326, April.
    2. Gamst, Mette & Neergaard Jensen, Peter & Pisinger, David & Plum, Christian, 2010. "Two- and three-index formulations of the minimum cost multicommodity k-splittable flow problem," European Journal of Operational Research, Elsevier, vol. 202(1), pages 82-89, April.
    3. Villeneuve, Daniel & Desaulniers, Guy, 2005. "The shortest path problem with forbidden paths," European Journal of Operational Research, Elsevier, vol. 165(1), pages 97-107, August.
    4. George B. Dantzig & Philip Wolfe, 1960. "Decomposition Principle for Linear Programs," Operations Research, INFORMS, vol. 8(1), pages 101-111, February.
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    Cited by:

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    2. Khodakaram Salimifard & Sara Bigharaz, 2022. "The multicommodity network flow problem: state of the art classification, applications, and solution methods," Operational Research, Springer, vol. 22(1), pages 1-47, March.

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