机构

• 沈阳自动化研究所 [77]
• 自动化研究所 [5]
• 数学与系统科学研究院 [3]
• 中国科学院大学 [2]
• 金属研究所 [1]
• 深圳先进技术研究院 [1]
• 更多

采集方式

• OAI收割 [93]
• iSwitch采集 [2]

内容类型

• 期刊论文 [44]
• 会议论文 [39]
• 学位论文 [12]

发表日期

• 2022 [3]
• 2021 [11]
• 2020 [2]
• 2019 [2]
• 2018 [3]
• 2017 [6]
• 更多

学科主题

• Operations... [1]

筛选

浏览/检索结果: 共95条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 Multi-Agent Reinforcement Learning for Extended Flexible Job Shop Scheduling 期刊论文  OAI收割 MACHINES, 2024, 卷号: 12, 期号: 1, 页码: 25 作者:  Peng, Shaoming;  Xiong, Gang;  Yang, Jing;  Shen, Zhen;  Tamir, Tariku Sinshaw   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/13 production planning and scheduling  multi-agent reinforcement learning  flexible job shop  path flexibility  technological flexibility   Digital twin oriented multi-objective flexible job shop scheduling model and its hybrid particle swarm optimization 期刊论文  OAI收割 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2022, 页码: 14 作者:  Chen, Zhaoming;  Zou, Jinsong;  Wang, Wei   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/10/14 Digital twin  flexible job shop scheduling problem  multi-objective optimization  hybrid particle swarm algorithm  simulated annealing   Differential evolution algorithm with dynamic multi-population applied to flexible job shop schedule 期刊论文  OAI收割 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：34/0  |  提交时间：2021/03/14 Flexible job shop scheduling problem  differential evolution algorithm  multi-objective optimization  multiple subpopulations  strategy adaptation   Novel approach to energy-efficient flexible job-shop scheduling problems 期刊论文  OAI收割 ENERGY, 2022, 卷号: 238, 页码: 16 作者:  Rakovitis, Nikolaos;  Li, Dan;  Zhang, Nan;  Li, Jie;  Zhang, Liping   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/06/15 Scheduling  Mixed-integer programming  Flexible job-shops  Energy-efficient  Unit-specific event-based   面向作业车间调度问题的静动态调度方法研究 学位论文  OAI收割 沈阳: 中国科学院沈阳自动化研究所, 2021 作者:  薛玲玲   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/06/12 作业车间调度  遗传算法  邻域结构  动态调度  本体建模   The distributed assembly permutation flowshop scheduling problem with flexible assembly and batch delivery 期刊论文  OAI收割 International Journal of Production Research, 2021, 卷号: 59, 期号: 13, 页码: 4053-4071 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚)   |  收藏  |  浏览/下载：17/0  |  提交时间：2020/05/24 scheduling  distributed assembly flowshop  variable neighbourhood descent  iterated greedy  batch delivery  flexible assembly   Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning 期刊论文  OAI收割 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：19/0  |  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   Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning 会议论文  OAI收割 Chongqing, China, March 12-14, 2021 作者:  Yang SL(杨圣落);  Xu ZG(徐志刚)   |  收藏  |  浏览/下载：16/0  |  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  OAI收割 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：20/0  |  提交时间：2021/08/03 Deep reinforcement learning  dynamic scheduling and reconfiguration  A2C  reconfigurable manufacturing system (RMS)  intelligent scheduling  dynamic job arrival   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  OAI收割 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：32/0  |  提交时间：2022/01/13 Dual control strategy  Energy consumption  Flexible job shop scheduling problem  Makespan  NSGA-III