中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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沈阳自动化研究所 [28]
数学与系统科学研究院 [6]
计算技术研究所 [4]
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OAI收割 [45]
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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:
Cheng, Long
;
Wang, Yue
;
Cheng, Feng
;
Liu, Cheng
;
Zhao, Zhiming
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收藏
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浏览/下载:6/0
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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
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收藏
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浏览/下载:21/0
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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
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收藏
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浏览/下载:58/0
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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)
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收藏
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浏览/下载:52/0
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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
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收藏
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浏览/下载:42/0
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提交时间:2022/06/15
Scheduling
Mixed-integer programming
Flexible job-shops
Energy-efficient
Unit-specific event-based
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)
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收藏
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浏览/下载:27/0
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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)
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收藏
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浏览/下载:33/0
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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)
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收藏
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浏览/下载:29/0
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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
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收藏
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浏览/下载:50/0
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提交时间:2022/01/13
Dual control strategy
Energy consumption
Flexible job shop scheduling problem
Makespan
NSGA-III
A Novel Maximin-based Multi-objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-robot Scheduling Optimization
期刊论文
OAI收割
IEEE Access, 2021, 卷号: 9, 页码: 121316-121328
作者:
Yang, Shujun
;
Zhang, Yichuan
;
Ma LB(马连博)
;
Song Y(宋岩)
;
Zhou, Ping
|
收藏
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浏览/下载:27/0
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提交时间:2021/08/28
Evolutionary computation
Job shop scheduling
Many-objective optimization
Maximin fitness function
Multi-objective optimization
Multi-robot scheduling optimization
One-by-one update scheme
Optimization
Robot kinematics
Robots
Task analysis
Warehousing
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