Optimal Design of Flexible Job Shop Scheduling Under Resource Preemption Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Automation Science and Eletrical Engineering, Beihang University,Beijing,China,100191
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9420428/9841527/09841531.pdf?arnumber=9841531
Reference28 articles.
1. Reinforcement learning in a distributed market-based production control system
2. A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem
3. An ensemble discrete differential evolution for the distributed blocking flowshop scheduling with minimizing makespan criterion
4. A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling
5. Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems
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