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Scheduling is key towards improving the performance of a Flexible Assembly Line (FAL). In this paper, a Bilevel Differential Evolution (BiDE) algorithm to solve a FAL scheduling problem is proposed. The BiDE algorithm optimizes the performance of the FAL with respect to two criteria: the weighted sum of Earliness/Tardiness (E/T) penalties and the balance of the FAL. The performance of BiDE is evaluated...
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