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Knowledge-driven inverse diffusion prediction algorithm for flexible job shop scheduling problem considering transportation resources and multiple breakdowns
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AI
DOI：10.1016/j.swevo.2025.101979.png)
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Abstract
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• A model for multiple breakdowns and transportation scheduling is created. • An inverse diffusion prediction strategy is proposed. • A similarity measure based on mutual entropy is introduced. • An adaptive competitive reconfiguration strategy is proposed.
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