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Graph-Based Knowledge-Integrated Deep Reinforcement Learning for Dynamic Multi-Objective Reentrant Hybrid Flow-Shop Scheduling Problem With Batch Processing Machines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. The reentrant hybrid flow-shop scheduling problem with batch processing machines (RHFSP-BPMs), characterized by reentrant routing and batch processing, is widely observed in industrial settings such as electronics ...
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