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科研机构
沈阳自动化研究所 [51]
内容类型
期刊论文 [23]
会议论文 [14]
学位论文 [12]
专利 [2]
发表日期
2022 [1]
2021 [2]
2020 [1]
2019 [3]
2018 [3]
2017 [3]
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Intelligent Bus Scheduling Control Based on On-Board Bus Controller and Simulated Annealing Genetic Algorithm
期刊论文
Electronics (Switzerland), 2022, 卷号: 11, 期号: 10, 页码: 1-12
作者:
Yu, Jiehan
;
Xie, Zhendong
;
Dong, Zhiguo
;
Song, Hainan
;
Su, Jiayi
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/05/29
bus network
edge computing
intelligent scheduling
on-board controller
simulated annealing genetic algorithm
A Novel Maximin-based Multi-objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-robot Scheduling Optimization
期刊论文
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
  |  
浏览/下载:16/0
  |  
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
Mixed-criticality Industrial Data Scheduling on 5G NR
期刊论文
IEEE Internet of Things Journal, 2021, 页码: 1-13
作者:
Jin X(金曦)
;
Tian Y(田宇)
;
Xu C(许驰)
;
Xia CQ(夏长清)
;
Li D(李栋)
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  |  
浏览/下载:70/0
  |  
提交时间:2021/11/18
5G NR
mixed criticality
real-time performance
Reliability
scheduling
A study of flexible flow shop scheduling problem with variable processing times based on improved bat algorithm
期刊论文
International Journal of Simulation and Process Modelling, 2020, 卷号: 15, 期号: 3, 页码: 245-254
作者:
Bian, Jianyong
;
Yang LY(杨丽英)
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  |  
浏览/下载:4/0
  |  
提交时间:2020/06/21
flexible flow shop
bat algorithm
BA
variable processing time
Hamming distance
adaptive position update
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 5, 页码: 5246-5257
作者:
Wan, Zhiqiang
;
Prokhorov, Danil
;
Li HP(李鹤鹏)
;
He HB(何海波)
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  |  
浏览/下载:83/0
  |  
提交时间:2019/09/15
Deep reinforcement learning
model-free
EV charging scheduling
Dynamic Energy Management of a Microgrid using Approximate Dynamic Programming and Deep Recurrent Neural Network Learning
期刊论文
IEEE Transactions on Smart Grid, 2019, 卷号: 10, 期号: 4, 页码: 4435-4445
作者:
Zeng P(曾鹏)
;
He HB(何海波)
;
Li HP(李鹤鹏)
;
Li SH(李署辉)
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  |  
浏览/下载:45/0
  |  
提交时间:2018/08/11
Microgrid
Dynamic Energy Management System
Approximate Dynamic Programming
Recurrent Neural Network
Deep Learning
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2019, 卷号: 10, 期号: 5, 页码: 5246-5257
作者:
Wan, Zhiqiang
;
Li HP(李鹤鹏)
;
He HB(何海波)
;
Prokhorov, Danil
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/09/15
Deep reinforcement learning
model-free
EV charging scheduling
Blocking Flowshop Scheduling Model for Optimising Cubic Criterion with Release Dates
期刊论文
IEEE Access, 2018, 卷号: 6, 页码: 72179-72188
作者:
Liang, Jie
;
Hu, Qi-bo
;
Cui, Xiao-zhi
;
Fu, Yao
;
Liu YY(刘意杨)
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2018/12/16
Blocking
Flowshop
Metaheuristic
Release Date
Scheduling
Fuzzy Byproduct Gas Scheduling in the Steel Plant Considering Uncertainty and Risk Analysis
期刊论文
Energies, 2018, 卷号: 11, 期号: 10, 页码: 1-14
作者:
Wang Z(王卓)
;
Hu JT(胡静涛)
;
Sun XY(孙雪莹)
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2018/12/01
Iron And Steel Industry
Byproduct Gas
Optimal Scheduling
Fuzzy Chance Constraint Programming
Risk Cost
Research on the optimal dispatch of wind power consumption based on combined heat and power with thermal energy storage
期刊论文
Energy Procedia, 2018, 卷号: 152, 页码: 978-983
作者:
Zang CZ(臧传治)
;
Zeng P(曾鹏)
;
Liu D(刘鼎)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2018/12/27
combined heat and power
wind power consumption
thermal energy storage
optimal dispatch
PSO algorithm
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