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Evolutionary Computation for Expensive Optimization: A Survey
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 3-23
作者:
Jian-Yu Li
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浏览/下载：44/0
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提交时间：2022/01/25
Expensive optimization problem
evolutionary computation
evolutionary algorithm
swarm intelligence
particle swarm optimization
differential evolution
Evolutionary Computation for Expensive Optimization: A Survey
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 3-23
作者:
Jian-Yu Li
;
Zhi-Hui Zhan
;
Jun Zhang
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浏览/下载：0/0
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提交时间：2024/04/23
Expensive optimization problem
evolutionary computation
evolutionary algorithm
swarm intelligence
particle swarm optimization
differential evolution
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:
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浏览/下载：50/0
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提交时间：2021/11/02
Computer architecture
Optimization
Learning (artificial intelligence)
Task analysis
Acceleration
Evolutionary computation
Convolution
Neural architecture search(NAS)
convolution neural network
sparse optimization
Computational Intelligence in Remote Sensing Image Registration: A survey
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
作者:
Yue Wu
;
Jun-Wei Liu
;
Chen-Zhuo Zhu
;
Zhuang-Fei Bai
;
Qi-Guang Miao
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浏览/下载：16/0
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提交时间：2021/02/23
Computational intelligence
evolutionary computation
neural network
deep learning
remote sensing image registration
Multi-parameters Inversion of Stress-Seepage-Damage Coupling Model Based on DEPSO Intelligent Algorithm
期刊论文
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2018, 卷号: 26, 期号: 4, 页码: 872-887
作者:
Wang, Junxiang
;
Dong, Jianhua
;
Chen, Sili
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浏览/下载：0/0
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提交时间：2022/02/17
C++ (programming language)
Computational efficiency
Control system analysis
Coordination reactions
Evolutionary algorithms
Geotechnical engineering
Optimization
Precision engineering
Risk assessment
Seepage
Software testing
Stresses
Back analysis
Computation efficiency
Coupling modeling
Differential evolution algorithms
Environmental geotechnical engineerings
Hybrid intelligence
Hybrid intelligent algorithms
Hybrid intelligent method
Multi-parameters Inversion of Stress-Seepage-Damage Coupling Model Based on DEPSO Intelligent Algorithm
期刊论文
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2018, 卷号: 26, 期号: 4, 页码: 872-887
作者:
Wang, Junxiang
;
Dong, Jianhua
;
Chen, Sili
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浏览/下载：9/0
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提交时间：2020/11/14
C++ (programming language)
Computational efficiency
Control system analysis
Coordination reactions
Evolutionary algorithms
Geotechnical engineering
Optimization
Precision engineering
Risk assessment
Seepage
Software testing
Stresses
Back analysis
Computation efficiency
Coupling modeling
Differential evolution algorithms
Environmental geotechnical engineerings
Hybrid intelligence
Hybrid intelligent algorithms
Hybrid intelligent method
General contraction method for uncapacitated single allocation p-hub median problems
会议论文
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
作者:
Dai, W.
;
Zhang, J.
;
Sun, X.
;
Wandelt, S.
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浏览/下载：11/0
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提交时间：2019/12/30
Artificial intelligence
Economic and social effects
Scalability
Shrinkage
Site selection
Efficient computation
Hub location problems
Large-scale network
Large-scale problem
P - hub median problems
Spatial properties
Tailored Solutions
Transportation network
Location
Crowd intelligence in AI 2.0 era
期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 卷号: 18, 期号: 1, 页码: 15-43
作者:
Li, Wei
;
Wu, Wen-jun
;
Wang, Huai-min
;
Cheng, Xue-qi
;
Chen, Hua-jun
收藏
|
浏览/下载：19/0
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提交时间：2019/12/12
Crowd intelligence
Artificial intelligence 2.0
Crowdsourcing
Human computation
LSTM network: a deep learning approach for short-term traffic forecast
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2017, 卷号: 11, 页码: 68-75
作者:
Zhao, Zheng
;
Chen, Weihai
;
Wu, Xingming
;
Chen, Peter C.V.
;
Liu, Jingmeng
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浏览/下载：15/0
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提交时间：2019/12/30
learning (artificial intelligence)
intelligent transportation systems
road traffic control
recurrent neural nets
LSTM network
LSTM deep-learning approach
short-term traffic forecasting
intelligent transportation system
travel modes
travel routes
departure time
traffic management
traffic data analysis
computation power
long-short-term memory network
temporal-spatial correlation
two-dimensional network
memory units
Crowd intelligence in AI 2.0 era
期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 卷号: 18, 页码: 15-43
作者:
Li, Wei
;
Wu, Wen-jun
;
Wang, Huai-min
;
Cheng, Xue-qi
;
Chen, Hua-jun
收藏
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浏览/下载：4/0
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提交时间：2019/12/30
Crowd intelligence
Artificial intelligence 2.0
Crowdsourcing
Human computation
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