Abstract: Machine learning has demonstrated remarkable effectiveness in solving scheduling problems through end-to-end optimization. However, dynamic events introduce uncertainty and pose significant ...
Abstract: This paper focuses on the dynamic scheduling problem of flexible job-shop (FJSDS) and proposes a rescheduling optimization algorithm based on non-cooperative game theory. The research aims ...
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