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科研机构
沈阳自动化研究所 [264]
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期刊论文 [126]
会议论文 [83]
学位论文 [50]
专利 [4]
专著章节/文集论文 [1]
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2022 [5]
2021 [10]
2020 [8]
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2017 [23]
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专题:沈阳自动化研究所
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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)
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
Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning
期刊论文
Soft Computing, 2022, 页码: 1-14
作者:
Na XD(那晓栋)
;
Wang, Jiaqian
;
Han M(韩敏)
;
Li DC(李德才)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/07
Mobile robot path planning
Biogeography-based optimization
Eigendecomposition
Gradient decent strategy
System search strategy
A supervised independent component analysis algorithm for motion imagery-based brain computer interface
期刊论文
Biomedical Signal Processing and Control, 2022, 卷号: 75, 页码: 1-8
作者:
Zou YJ(邹宜君)
;
Zhao XG(赵新刚)
;
Chu YQ(褚亚奇)
;
Xu WL(徐卫良)
;
Han JD(韩建达)
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  |  
浏览/下载:15/0
  |  
提交时间:2022/03/07
Brain-computer interface (BCI)
Electroencephalogram (EEG)
Independent component analysis
Machine learning
Movement imagination
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 4, 页码: 1853-1868
作者:
Han Z(韩志)
;
Yu SQ(余思泉)
;
Lin SB(林绍波)
;
Zhou DX(周定軒)
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  |  
浏览/下载:25/0
  |  
提交时间:2022/03/23
Feature extraction
Data mining
Deep learning
Task analysis
Optimization
Machine learning algorithms
Deep nets
feature extractions
generalization
learning theory
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrialwireless networks
期刊论文
Frontiers of Information Technology & Electronic Engineering, 2022, 卷号: 23, 期号: 1, 页码: 47-60
作者:
Liu XY(刘晓宇)
;
Xu C(许驰)
;
Yu HB(于海斌)
;
Zeng P(曾鹏)
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/01/27
Multi-agent deep reinforcement learning
End–edge orchestrated
Industrial wireless networks
Delay
Energy consumption
Concentration optimization of combinatorial drugs using Markov chain-based models
期刊论文
BMC Bioinformatics, 2021, 卷号: 22, 期号: 1, 页码: 1-19
作者:
Ma S(马爽)
;
Dang D(党丹)
;
Wang WX(王文学)
;
Wang YC(王越超)
;
Liu LQ(刘连庆)
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  |  
浏览/下载:13/0
  |  
提交时间:2021/10/03
Combinatorial drug optimization
Markov chain
Transition probability
Stationary balance distribution
Combinatorial therapy
Joint Algorithm of Message Fragmentation and No-Wait Scheduling for Time-Sensitive Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 478-490
作者:
Jin X(金曦)
;
Xia CQ(夏长清)
;
Guan N(关楠)
;
Zeng P(曾鹏)
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  |  
浏览/下载:8/0
  |  
提交时间:2021/01/30
Message fragmentation
networked control system
real-time scheduling
time sensitive network
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:17/0
  |  
提交时间:2022/01/13
Dual control strategy
Energy consumption
Flexible job shop scheduling problem
Makespan
NSGA-III
A Surrogate-Assisted Many-Objective Evolutionary Algorithm Using Multi- Classification and Coevolution for Expensive Optimization Problems
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 159160-159174
作者:
Wang, Ruoyu
;
Zhou, Yuee
;
Chen HN(陈瀚宁)
;
Ma LB(马连博)
;
Zheng M(郑萌)
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/12/20
Statistics
Sociology
Optimization
Computational modeling
Evolutionary computation
Training
Linear programming
Coevolution
expensive optimization
multi-classification
surrogate-assisted evolutionary algorithm
Short-Term Photovoltaic Power Interval Prediction Based on VMD and GOA-KELM Algorithms
会议论文
Chengdu, China, May 7-10, 2021
作者:
Sun, Wenxuan
;
Wang AN(王安娜)
;
Zhang T(张涛)
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/04/23
photovoltaic power prediction
variational mode decomposition
grasshopper optimization algorithm
kernel extreme learning machine
interval prediction
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