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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 

    Source: Journal of Computing and Information Science in Engineering:;2026:;volume( 026 ):;issue:010
    Author(s): Ren, Xiaoyu; Zhang, Lihan; Zhang, Jian; Chen, Haojie
    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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    DSpace software copyright © 2002-2015  DuraSpace
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