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	Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文 MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25 作者: Peng, Shaoming 收藏 \| 浏览/下载：7/0 \| 提交时间：2024/03/13 production planning and scheduling multi-agent reinforcement learning flexible job shop path flexibility technological flexibility
	A knowledge-driven constructive heuristic algorithm for the distributed assembly blocking flow shop scheduling problem 期刊论文 Expert Systems with Applications, 2022, 卷号: 202 作者: Yang, Yahong; Li, Xun 收藏 \| 浏览/下载：32/0 \| 提交时间：2022/06/20 Benchmarking Heuristic algorithms Job shop scheduling Machine shop practice Assembly completion time Blocking flow shops Completion time Constructive heuristic Constructive heuristic algorithm Distributed assembly blocking flow shop scheduling problem Distributed flow Flow shop scheduling problem Knowledge-driven constructive heuristic algorithm Neighbourhood
	A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows 期刊论文 Expert Systems with Applications, 2022, 卷号: 198 作者: Zhu, Ningning; Zhao, Fuqing; Wang, Ling; Ding, Ruiqing; Xu, Tianpeng 收藏 \| 浏览/下载：30/0 \| 提交时间：2022/04/21 Fruits Iterative methods Job shop scheduling Learning algorithms Local search (optimization) Machine shop practice Manufacture Distributed no-wait flow-shop Due-window Fruit fly optimization Fruitflies Knowledge model No-wait flowshop Optimisations Probability knowledge model Variable neighborhood descend Variable neighbourhoods
	Differential evolution algorithm with dynamic multi-population applied to flexible job shop schedule 期刊论文 Engineering Optimization, 2022, 卷号: 54, 期号: 3, 页码: 387-408 作者: Cao Y(曹阳); Shi HB(史海波); Chang DL(常大亮) 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/03/14 Flexible job shop scheduling problem differential evolution algorithm multi-objective optimization multiple subpopulations strategy adaptation
	A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem 期刊论文 IEEE Transactions on Cybernetics, 2022, 页码: 1-14 作者: Zhao, Fuqing; Di, Shilu; Wang, Ling 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/09/22 Carbon Energy efficiency Heuristic algorithms Job shop scheduling Machine shop practice Planning > $Q$ -learning Blocking flow shops Distributed blocking flow shop scheduling Energy-consumption Flow-shop scheduling Heuristics algorithm Hyper-heuristics Index Job-Shop scheduling Optimisations Production facility Q-learning Total energy Total energy consumption Total tardiness Xmlns:mml=" Xmlns:xlink=" Xmlns:xsi="
	A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem 期刊论文 IEEE Transactions on Industrial Informatics, 2022, 页码: 1-12 作者: Zhao, Fuqing; Xu, Zesong; Wang, Ling; Zhu, Ningning; Xu, Tianpeng 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/09/22 Benchmarking Integer programming Job shop scheduling Local search (optimization) Machine shop practice Manufacture Population statistics Scheduling algorithms Assembly scheduling Distributed assembly scheduling Greedy algorithms Iterated greedy algorithm Job-Shop scheduling No-wait flowshop Processor scheduling Production facility Search problem Total flowtime
	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 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：16/0 \| 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)
	Adaptive population NSGA-III with dual control strategy for flexible job shop scheduling problem with the consideration of energy consumption and weight 期刊论文 Machines, 2021, 卷号: 9, 期号: 12, 页码: 1-24 作者: Wu, Mingliang; Yang DS(杨东升); Zhou BW(周博文); Yang ZL(杨之乐); Liu, Tianyi 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/01/13 Dual control strategy Energy consumption Flexible job shop scheduling problem Makespan NSGA-III
	Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning 期刊论文 Sensors (Switzerland), 2021, 卷号: 21, 期号: 3, 页码: 1-20 作者: Yang SL(杨圣落); Xu ZG(徐志刚); Wang JY(王军义) 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/02/14 permutation flowshop scheduling problem deep reinforcement learning actor-critic dynamic scheduling real-time scheduling new job arrival tardiness cost

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