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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2021     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 11, 页码: 5291-5303 作者:  Zhao, Fuqing;  He, Xuan;  Wang, Ling 收藏  |  浏览/下载：20/0  |  提交时间：2021/12/17 Job shop scheduling  Energy consumption  Search problems  Steel  Optimization  Manufacturing  Cooperative algorithm  energy efficient  knowledge  no-wait flow-shop scheduling  total energy consumption (TEC)   An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem 期刊论文 Applied Soft Computing, 2021, 卷号: 112 作者:  Zhao, Fuqing;  Zhao, Jinlong;  Wang, Ling;  Tang, Jianxin 收藏  |  浏览/下载：13/0  |  提交时间：2022/02/17 Learning algorithms  Machine shop practice  Manufacture  Scheduling  Backtracking search algorithms  Effective algorithms  Flow shop scheduling problem  Mutation operations  Mutation strategy  No-wait flow-shop scheduling  Optimal solutions  State-of-the-art algorithms   A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem 期刊论文 Computers and Industrial Engineering, 2021, 卷号: 153 作者:  Zhao, Fuqing;  Zhang, Lixin;  Cao, Jie;  Tang, Jianxin 收藏  |  浏览/下载：21/0  |  提交时间：2021/03/02 Benchmarking  Manufacture  Optimization  Reinforcement learning  Scheduling  Supply chains  Water waves  Co-operative effects  Control parameters  Experimental program  Exploration and exploitation  Flow shop scheduling problem  Knowledge information  No-idle flow shop  Optimization algorithms   Research on Conflict Resolution Method of Production Evaluation Index in Flexible Manufacturing Field Based on Multiplayer Cooperative Game 期刊论文 IEEE Access, 2021, 卷号: 9, 页码: 7336-7352 作者:  Han C(韩超);  Chang DL(常大亮);  Meng F(孟付) 收藏  |  浏览/下载：5/0  |  提交时间：2021/01/24 Flexible ow shop  limited buffer  public buffer  multiplayer cooperative game  con ict resolution  local assignment rules   Enhancing whale optimization algorithm with chaotic theory for permutation flow shop scheduling problem 期刊论文 International Journal of Computational Intelligence Systems, 2021, 卷号: 14, 期号: 1, 页码: 651-675 作者:  J. Li;  L. Guo;  Y. Li;  C. Liu;  L. Wang and H. Hu 收藏  |  浏览/下载：2/0  |  提交时间：2022/06/13 A memetic discrete differential evolution algorithm for the distributed permutation flow shop scheduling problem 期刊论文 COMPLEX & INTELLIGENT SYSTEMS, 2021 作者:  Zhao, Fuqing;  Hu, Xiaotong;  Wang, Ling;  Li, Zekai 收藏  |  浏览/下载：12/0  |  提交时间：2021/06/03 Distributed permutation flow shop scheduling  Neighborhood structures  Differential evolution  Knowledge  Makespan   A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021 作者:  Zhao, Fuqing;  Ma, Ru;  Wang, Ling 收藏  |  浏览/下载：15/0  |  提交时间：2022/03/01 Production facilities  Job shop scheduling  Optimization  Energy consumption  Search problems  Load management  Sustainable development  Energy-efficient distributed no-idle flow-shop scheduling problem (FSP)  energy-saving strategy  heterogeneous factory system  Jaya algorithm  self-learning operation selection strategy (SLOS)   Learning-based Edge Computing Architecture for Regional Scheduling in Manufacturing System 会议论文 Palma de Mallorca, Spain, July 21-23, 2021 作者:  Xue TF(薛天放);  Zeng P(曾鹏);  Yu HB(于海斌) 收藏  |  浏览/下载：8/0  |  提交时间：2022/03/15 Distributed edge computing  Flow-shop  Multi-AGV  Regional scheduling task  Reinforcement learning   Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning 会议论文 Chongqing, China, March 12-14, 2021 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚) 收藏  |  浏览/下载：15/0  |  提交时间：2021/05/10 dynamic scheduling  deep reinforcement learning  PFSP  deep Q network (DQN)  intelligent scheduling  dynamic job arrival   Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing 期刊论文 International Journal of Production Research, 2021, 页码: 1-18 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚) 收藏  |  浏览/下载：23/0  |  提交时间：2021/08/03 Deep reinforcement learning  dynamic scheduling and reconfiguration  A2C  reconfigurable manufacturing system (RMS)  intelligent scheduling  dynamic job arrival