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A Reduced-Cost Iterated Local Search Heuristic for the Fixed-Charge Transportation Problem

Author

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  • Erika Buson

    (DEI, University of Bologna, 40136 Bologna, Italy)

  • Roberto Roberti

    (DEI, University of Bologna, 40136 Bologna, Italy)

  • Paolo Toth

    (DEI, University of Bologna, 40136 Bologna, Italy)

Abstract

The fixed-charge transportation problem (FCTP) is a generalization of the transportation problem where an additional fixed cost is paid for sending a flow from an origin to a destination. We propose an iterated local search heuristic based on the utilization of reduced costs for guiding the restart phase. The reduced costs are obtained by applying a lower bounding procedure that computes a sequence of nondecreasing lower bounds by solving a three-index mathematical formulation of the problem strengthened with valid inequalities. The proposed method was tested on two sets of benchmark instances from the literature. The first set was used to evaluate the state-of-the-art heuristics for the problem; the proposed heuristic was able to provide new best-knownupper bounds on all 124 open instances. On the second set of instances, which was recently introduced for testing the currently best exact method for the problem, the new heuristic was able to provide provably good upper bounds within short computing times.

Suggested Citation

  • Erika Buson & Roberto Roberti & Paolo Toth, 2014. "A Reduced-Cost Iterated Local Search Heuristic for the Fixed-Charge Transportation Problem," Operations Research, INFORMS, vol. 62(5), pages 1095-1106, October.
  • Handle: RePEc:inm:oropre:v:62:y:2014:i:5:p:1095-1106
    DOI: 10.1287/opre.2014.1288
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    6. Roberto Roberti & Enrico Bartolini & Aristide Mingozzi, 2015. "The Fixed Charge Transportation Problem: An Exact Algorithm Based on a New Integer Programming Formulation," Management Science, INFORMS, vol. 61(6), pages 1275-1291, June.
    7. Aristide Mingozzi & Roberto Roberti, 2018. "An Exact Algorithm for the Fixed Charge Transportation Problem Based on Matching Source and Sink Patterns," Transportation Science, INFORMS, vol. 52(2), pages 229-238, March.

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