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Solving Fixed-Charge Network Flow Problems with a Hybrid Optimization and Constraint Programming Approach

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  • Hak-Jin Kim
  • John Hooker

Abstract

We apply to fixed charge network flow (FCNF) problems a general hybrid solution method that combines constraint programming and linear programming. FCNF problems test the hybrid approach on problems that are already rather well suited for a classical 0–1 model. They are solved by means of a global constraint that generates specialized constraint propagation algorithms and a projected relaxation that can be rapidly solved as a minimum cost network flow problem. The hybrid approach ran about twice as fast as a commercial mixed integer programming code on fixed charge transportation problems with its advantage increasing with problem size. For general fixed charge transshipment problems, however, it has no effect because the implemented propagation methods are weak. Copyright Kluwer Academic Publishers 2002

Suggested Citation

  • Hak-Jin Kim & John Hooker, 2002. "Solving Fixed-Charge Network Flow Problems with a Hybrid Optimization and Constraint Programming Approach," Annals of Operations Research, Springer, vol. 115(1), pages 95-124, September.
  • Handle: RePEc:spr:annopr:v:115:y:2002:i:1:p:95-124:10.1023/a:1021145103592
    DOI: 10.1023/A:1021145103592
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    Cited by:

    1. Zhaowei Miao & Feng Yang & Ke Fu & Dongsheng Xu, 2012. "Transshipment service through crossdocks with both soft and hard time windows," Annals of Operations Research, Springer, vol. 192(1), pages 21-47, January.
    2. Dutta, Kaushik & VanderMeer, Debra, 2011. "Cost-based decision-making in middleware virtualization environments," European Journal of Operational Research, Elsevier, vol. 210(2), pages 344-357, April.
    3. Fontes, Dalila B.M.M. & Hadjiconstantinou, Eleni & Christofides, Nicos, 2006. "A dynamic programming approach for solving single-source uncapacitated concave minimum cost network flow problems," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1205-1219, October.
    4. Jesús Sáez Aguado, 2009. "Fixed Charge Transportation Problems: a new heuristic approach based on Lagrangean relaxation and the solving of core problems," Annals of Operations Research, Springer, vol. 172(1), pages 45-69, November.
    5. A. N. Balaji & J. Mukund Nilakantan & Izabela Nielsen & N. Jawahar & S. G. Ponnambalam, 2019. "Solving fixed charge transportation problem with truck load constraint using metaheuristics," Annals of Operations Research, Springer, vol. 273(1), pages 207-236, February.
    6. Matteo Fischetti & Domenico Salvagnin, 2010. "Pruning Moves," INFORMS Journal on Computing, INFORMS, vol. 22(1), pages 108-119, February.
    7. Jeffery L. Kennington & Charles D. Nicholson, 2010. "The Uncapacitated Time-Space Fixed-Charge Network Flow Problem: An Empirical Investigation of Procedures for Arc Capacity Assignment," INFORMS Journal on Computing, INFORMS, vol. 22(2), pages 326-337, May.
    8. Gianni Codato & Matteo Fischetti, 2006. "Combinatorial Benders' Cuts for Mixed-Integer Linear Programming," Operations Research, INFORMS, vol. 54(4), pages 756-766, August.

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