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Development of an Intelligent Methodology for Scheduling RFAC

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Abstract

Production scheduling of advanced manufacturing systems has attracted significant attention by both researchers and industrial practitioners in recent years. Due to the complexity of these systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic (FL), genetic algorithms (GA) and neural networks (NN) have been successfully applied to the scheduling of advanced manufacturing systems.

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Correspondence to Khalid Karam Abd .

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Abd, K.K. (2016). Development of an Intelligent Methodology for Scheduling RFAC. In: Intelligent Scheduling of Robotic Flexible Assembly Cells. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-26296-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-26296-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26295-6

  • Online ISBN: 978-3-319-26296-3

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