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A constraint programming approach for the resource-constrained project scheduling problem

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  • Olivier Liess
  • Philippe Michelon

Abstract

A “pure” Constraint Programming approach for the Resource-Constrained Project Scheduling Problem (RCPSP) is presented. Our basic idea was to substitute the resource constraints by a set of “sub-constraints” generated as needed. Each of these sub-constraints corresponds to a set of tasks that cannot be executed together without violating one of the resource constraints. A filtering algorithm for these sub-constraints has been developed. When applied to the initial resource constraints together with known filtering algorithms, this new filtering algorithm provides very good numerical results. Copyright Springer Science+Business Media, LLC 2008

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  • Olivier Liess & Philippe Michelon, 2008. "A constraint programming approach for the resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 157(1), pages 25-36, January.
    • Handle: RePEc:spr:annopr:v:157:y:2008:i:1:p:25-36:10.1007/s10479-007-0188-y
    DOI: 10.1007/s10479-007-0188-y
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    References listed on IDEAS

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    4. Sophie Demassey & Christian Artigues & Philippe Michelon, 2005. "Constraint-Propagation-Based Cutting Planes: An Application to the Resource-Constrained Project Scheduling Problem," INFORMS Journal on Computing, INFORMS, vol. 17(1), pages 52-65, February.
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    9. U. Dorndorf & E. Pesch & T. Phan-Huy, 2000. "A branch-and-bound algorithm for the resource-constrained project scheduling problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 52(3), pages 413-439, December.
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    Cited by:

    1. Andrei Horbach, 2010. "A Boolean satisfiability approach to the resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 181(1), pages 89-107, December.
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