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A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity被引量：1
《Complex System Modeling and Simulation》2024年第2期184-209,共26页Fuquan Wang Yaping Fu Kaizhou Gao Yaoxin Wu Song Gao 
This work was in part supported by the Science and Technology Development Fund(FDCT),Macao SAR,(No.0019/2021/A);Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities(No.2020RWG011),National Natural Science Foundation of China(Nos.62173356 and 61703320);Natural Science Foundation of Shandong Province(No.ZR202111110025);Guangdong Basic and Applied Basic Research Foundation(No.2023A1515011531);Zhuhai Industry-University-Research Project with Hongkong and Macao(No.ZH22017002210014PWC).
Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment protection.To improve the efficiency of the remanufacturing process,this work investigates an integrated sched...
关键词：remanufacturing scheduling DISASSEMBLY REPROCESSING META-HEURISTIC Q-LEARNING 
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