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Due to the high complexity of Flexible Manufacturing Systems(FMS) scheduling problem, approaches that guarantee to find the optimal solution are feasible only for small size instance of the problems with lot of computational effort and time. In contrast, approaches based on meta heuristics are capable of finding good and "Near to optimal" solutions to problem instances of realistic size, in a generally smaller computation time. This paper provided a review on the use of swarm intelligence meta heuristics to the scheduling of flexible manufacturing problem.
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