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Lower bounds for the scheduling problem with uncertain demands

Djamel Berkoune, Khaled Mesghouni, Besoa Rabenasolo (2006)

International Journal of Applied Mathematics and Computer Science

This paper proposes various lower bounds to the makespan of the flexible job shop scheduling problem (FJSP). The FJSP is known in the literature as one of the most difficult combinatorial optimisation problems (NP-hard). We will use genetic algorithms for the optimisation of this type of problems. The list of the demands is divided in two sets: the actual demand, which is considered as certain (a list of jobs with known characteristics), and the predicted demand, which is a list of uncertain jobs....

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