Deep reinforcement learning for dynamic distributed job shop scheduling problem with transfers
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Elsevier BV
Reference62 articles.
1. Improved genetic algorithm approach based on new virtual crossover operators for dynamic job shop scheduling;Ali;IEEE Access,2020
2. Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning;Brammer;European Journal of Operational Research,2022
3. Deep reinforcement learning for solving resource constrained project scheduling problems with resource disruptions;Cai;Robotics and Computer-Integrated Manufacturing,2024
4. A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling;Cai;International Journal of Production Research,2023
5. A knowledge-based cuckoo search algorithm to schedule a flexible job shop with sequencing flexibility;Cao;IEEE Transactions on Automation Science and Engineering,2021
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing;Journal of Manufacturing Systems;2024-10
2. Deep Reinforcement Learning and Discrete Simulation-Based Digital Twin for Cyber–Physical Production Systems;Applied Sciences;2024-06-14
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