Intelligent Decision-Making of Scheduling for Dynamic Permutation Flowshop via Deep Reinforcement Learning
Dynamic scheduling problems have been receiving increasing attention in recent years due to their practical implications. To realize real-time and the intelligent decision-making of dynamic scheduling, we studied dynamic permutation flowshop scheduling problem (PFSP) with new job arrival using deep...
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| 格式: | 文件 |
| 语言: | English |
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MDPI AG
2021-02-01
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| 丛编: | Sensors |
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| 在线阅读: | https://www.mdpi.com/1424-8220/21/3/1019 |