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Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival
The production process of a smart factory is complex and dynamic. As the core of manufacturing management, the research into the flexible job shop scheduling problem (FJSP) focuses on optimizing scheduling decisions in real time, according to the changes in the production environment. In this paper,...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2022-04-01
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| Colecção: | Processes |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2227-9717/10/4/760 |
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