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Fast machine reassignment

Author

Listed:
  • Franck Butelle

    (Université Paris 13, Sorbonne Paris Cité)

  • Laurent Alfandari

    (Université Paris 13, Sorbonne Paris Cité
    ESSEC Business School)

  • Camille Coti

    (Université Paris 13, Sorbonne Paris Cité)

  • Lucian Finta

    (Université Paris 13, Sorbonne Paris Cité)

  • Lucas Létocart

    (Université Paris 13, Sorbonne Paris Cité)

  • Gérard Plateau

    (Université Paris 13, Sorbonne Paris Cité)

  • Frédéric Roupin

    (Université Paris 13, Sorbonne Paris Cité)

  • Antoine Rozenknop

    (Université Paris 13, Sorbonne Paris Cité)

  • Roberto Wolfler Calvo

    (Université Paris 13, Sorbonne Paris Cité)

Abstract

This paper proposes a new method for solving the Machine Reassignment Problem in a very short computational time. The problem has been proposed by Google as subject of the Challenge ROADEF/EURO 2012. The Machine Reassignment Problem consists in looking for a reassignment of processes to machines in order to minimize a complex objective function, subject to a rich set of constraints including multidimensional resource, conflict and dependency constraints. In this study, a cooperative search approach is presented for machine reassignment. This approach uses two components: Adaptive Variable Neighbourhood Search and Simulated Annealing based Hyper-Heuristic, running in parallel on two threads and exchanging solutions. Both algorithms employ a rich set of heuristics and a learning mechanism to select the best neighborhood/move type during the search process. The cooperation mechanism acts as a multiple restart which gets triggered whenever a new better solution is achieved by a thread and then shared with the other thread. Computational results on the Challenge instances as well as instances of a Generalized Assignment-like problem are given to show the relevance of the chosen methods and the high benefits of cooperation.

Suggested Citation

  • Franck Butelle & Laurent Alfandari & Camille Coti & Lucian Finta & Lucas Létocart & Gérard Plateau & Frédéric Roupin & Antoine Rozenknop & Roberto Wolfler Calvo, 2016. "Fast machine reassignment," Annals of Operations Research, Springer, vol. 242(1), pages 133-160, July.
    • Handle: RePEc:spr:annopr:v:242:y:2016:i:1:d:10.1007_s10479-015-2082-3
    DOI: 10.1007/s10479-015-2082-3
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    References listed on IDEAS

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