Workshop scheduling method of multi-objective weight learning based on reinforcement learning and device and application thereof

The invention discloses a multi-target weight learning workshop scheduling method and device based on reinforcement learning and application, and belongs to the technical field of artificial intelligence. According to the multi-target weight learning workshop scheduling method based on reinforcement...

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Hauptverfasser: YAN ZHIHANG, GUO HONGFEI, CHAO BAO, NING YANCHAO, YAN LONG, WEI YUJIA, ZENG YUNHUI, OUYANG YAJIE
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a multi-target weight learning workshop scheduling method and device based on reinforcement learning and application, and belongs to the technical field of artificial intelligence. According to the multi-target weight learning workshop scheduling method based on reinforcement learning provided by the invention, the scheduling of multiple targets is continuously optimized by continuously collecting and analyzing the state data derived from different targets in the workshop, and finally the optimal scheduling mode is obtained, so that the workshop operation process is effectively optimized, and the production efficiency is improved; according to the method, the priorities of different optimization targets can be adjusted according to the actual production state, the dynamic nature is higher, and different production conditions can be better coped with; compared with a traditional method for solving the multi-target workshop scheduling problem, the scheduling result obtained by the method