Constraint Programming for Dynamic Scheduling Problems

نویسندگان

  • Abdallah Elkhyari
  • Christelle Guéret
چکیده

Scheduling problems considered in the literature are often static (activities are known in advance and constraints are fixed). However, every real-life schedule is subject to unexpected events. In these cases, a new solution is needed in a preferably short time and as close as possible to the current solution. In this paper, we present an exact approach for solving dynamic Resource-Constrained Project Scheduling Problems or RCPSP. This approach combines explanation-based constraint programming and operational research techniques. We present our first experimental results that show impressive improvements in both computation time and stability when comparing our approach to a re-execution from scratch.

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تاریخ انتشار 2004