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A greedy approach for a rolling stock management problem using multi-interval constraint propagation

Author

Listed:
  • Hugo Joudrier

    (Univ. Grenoble Alpes, CNRS, Grenoble INP)

  • Florence Thiard

    (Univ. Grenoble Alpes, CNRS, Grenoble INP)

Abstract

In this article we present our contribution to the Rolling Stock Unit Management problem proposed for the ROADEF/EURO Challenge 2014. We propose a greedy algorithm to assign trains to departures. Our approach relies on a routing procedure using multi-interval constraint propagation to compute the individual schedules of trains within the railway station. This algorithm allows to build an initial solution, satisfying a significant subset of departures.

Suggested Citation

  • Hugo Joudrier & Florence Thiard, 2018. "A greedy approach for a rolling stock management problem using multi-interval constraint propagation," Annals of Operations Research, Springer, vol. 271(2), pages 1165-1183, December.
    • Handle: RePEc:spr:annopr:v:271:y:2018:i:2:d:10.1007_s10479-017-2543-y
    DOI: 10.1007/s10479-017-2543-y
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    References listed on IDEAS

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    1. David F. Rogers & Robert D. Plante & Richard T. Wong & James R. Evans, 1991. "Aggregation and Disaggregation Techniques and Methodology in Optimization," Operations Research, INFORMS, vol. 39(4), pages 553-582, August.
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    Cited by:

    1. Christian Artigues & Eric Bourreau & Vincent Jost & Safia Kedad-Sidhoum & François Ramond, 2018. "Trains do not vanish: the ROADEF/EURO challenge 2014," Annals of Operations Research, Springer, vol. 271(2), pages 1091-1105, December.

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