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ENTITY Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop

Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop

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  1. RESEARCH · CL_141080 ·

    Deep Reinforcement Learning Tackles Time-Lag Scheduling in Module Factories

    Researchers have developed a novel time-lag-aware deep reinforcement learning approach to optimize scheduling in prefabricated module factories. This method specifically addresses the significant delays caused by post-o…