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A metaheuristic solution approach for the time-constrained project scheduling problem

Author

Listed:
  • Cédric Verbeeck

    (Ghent University)

  • Vincent Peteghem

    (EDHEC Business School)

  • Mario Vanhoucke

    (Ghent University
    University College London)

  • Pieter Vansteenwegen

    (KU Leuven, Leuven Mobility Research Center)

  • El-Houssaine Aghezzaf

    (Ghent University)

Abstract

In this paper, a metaheuristic solution procedure for the Time-Constrained Project Scheduling Problem is proposed, in which additional resources can be temporarily allocated to meet a given deadline. The problem consists of determining a schedule such that the project is completed on time and that the total additional cost for the resources is minimized. For this problem, an artificial immune system is proposed, in which each solution is represented by a vector of activity start times. A local search procedure, which tries to shift cost causing activities, is applied to each population schedule. Computational experiments are applied to modified resource-constrained project scheduling problem benchmark instances and reveal promising results.

Suggested Citation

  • Cédric Verbeeck & Vincent Peteghem & Mario Vanhoucke & Pieter Vansteenwegen & El-Houssaine Aghezzaf, 2017. "A metaheuristic solution approach for the time-constrained project scheduling problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 353-371, March.
    • Handle: RePEc:spr:orspec:v:39:y:2017:i:2:d:10.1007_s00291-016-0458-7
    DOI: 10.1007/s00291-016-0458-7
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    References listed on IDEAS

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    Cited by:

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    3. Györgyi, Péter & Kis, Tamás, 2020. "A common approximation framework for early work, late work, and resource leveling problems," European Journal of Operational Research, Elsevier, vol. 286(1), pages 129-137.

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