Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN
Traditional approaches for job shop scheduling problems are ill-suited to deal with complex and changeable production environments due to their limited real-time responsiveness. Based on disjunctive graph dispatching, this work proposes a deep reinforcement learning (DRL) framework, that combines th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9218934/ |