机构

• 沈阳自动化研究所 [28]
• 计算技术研究所 [6]
• 数学与系统科学研究院 [6]
• 自动化研究所 [4]
• 上海药物研究所 [1]
• 过程工程研究所 [1]
• 更多

采集方式

• OAI收割 [47]

内容类型

• 期刊论文 [29]
• 会议论文 [16]
• 学位论文 [2]

发表日期

• 2025 [2]
• 2024 [2]
• 2022 [3]
• 2021 [7]
• 2020 [2]
• 2019 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共47条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 Adaptive Time-Slot Optical Switching for Latency-Sensitive IoT Fronthaul in 6G Networks 期刊论文  OAI收割 JOURNAL OF LIGHTWAVE TECHNOLOGY, 2025, 卷号: 43, 期号: 24, 页码: 10930-10938 作者:  Yang, Changsheng;  Xue, Xuwei;  Pan, Bitao   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25 Optical buffering  Optical switches  Optical reflection  Real-time systems  Adaptive optics  Optical transmitters  Resource management  Job shop scheduling  Dynamic scheduling  6G mobile communication  6G network architecture  adaptive time-slot scheduling  edge computing  Internet of Things  optical fronthaul  optical switching network   Learning to schedule dynamic job-shop problems by graph attention network with reinforcement learning 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 16, 页码: 16 作者:  Huang, Chao;  Hu, Haibo;  Zhou, Yan   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/12/03 Job shop scheduling  Reinforcement learning  Graph attention network   A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling 期刊论文  OAI收割 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 422-432 作者:     |  收藏  |  浏览/下载：31/0  |  提交时间：2024/12/06 Cloud computing  Processor scheduling  Real-time systems  Costs  Quality of service  Time factors  Dynamic scheduling  DRL  job scheduling  preemptive mechanism  optimization   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：54/0  |  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：80/0  |  提交时间：2022/10/14 Digital twin  flexible job shop scheduling problem  multi-objective optimization  hybrid particle swarm algorithm  simulated annealing   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：60/0  |  提交时间：2022/06/15 Scheduling  Mixed-integer programming  Flexible job-shops  Energy-efficient  Unit-specific event-based   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：78/0  |  提交时间：2021/03/14 Flexible job shop scheduling problem  differential evolution algorithm  multi-objective optimization  multiple subpopulations  strategy adaptation   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：67/0  |  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:     |  收藏  |  浏览/下载：60/0  |  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：44/0  |  提交时间：2021/08/03 Deep reinforcement learning  dynamic scheduling and reconfiguration  A2C  reconfigurable manufacturing system (RMS)  intelligent scheduling  dynamic job arrival