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北京航空航天大学 [5]
大连理工大学 [3]
自动化研究所 [3]
兰州理工大学 [2]
山东大学 [2]
武汉大学 [2]
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期刊论文 [20]
会议论文 [6]
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2021 [3]
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2018 [6]
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Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach
期刊论文
TOURISM MANAGEMENT, 2021, 卷号: 82, 页码: 10
作者:
Xie, Gang
;
Qian, Yatong
;
Wang, Shouyang
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/01/14
Cruise
Big data
Gravitational search algorithm
Tourism demand forecasting
Improved gravitational search algorithm based on chaotic local search
期刊论文
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2021, 卷号: 17, 期号: 3, 页码: 154-164
作者:
Guo, Zhaolu
;
Zhang, Wensheng
;
Wang, Shenwen
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/06/07
evolutionary algorithm
optimisation algorithm
gravitational search
local search
chaotic map
A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 94-109
作者:
Yirui Wang
;
Shangce Gao
;
Mengchu Zhou
;
Yang Yu
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/04/09
Artificial intelligence
exploration and exploitation
gravitational search algorithm
hierarchical interaction
hierarchy
machine learning
population structure
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm
期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:
Sajjad Afrakhteh
;
Mohammad-Reza Mosavi
;
Mohammad Khishe
;
Ahmad Ayatollahi
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/02/22
Brain-computer interface (BCI)
classification
electroencephalography (EEG)
gravitational search algorithm (GSA)
multi-layer perceptron neural network (MLP-NN)
particle swarm optimization.
A discrete gravitational search algorithm for the blocking flow shop problem with total flow time minimization
期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 49, 期号: 9, 页码: 3362-3382
作者:
Zhao, Fuqing
;
Xue, Feilong
;
Zhang, Yi
;
Ma, Weimin
;
Zhang, Chuck
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/15
Gravitational search algorithm
Blocking flow shop problem
Total flow time
Constructive heuristic
Variable neighborhood search
An Improved Rider Optimization Algorithm for Solving Engineering Optimization Problems
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 80570-80576
作者:
Wang, Guohu
;
Yuan, Yongliang
;
Guo, Wenwen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Rider optimization algorithm
gravitational search strategy
engineering design problems
parameter identification
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 82
作者:
Niu, Wen-jing
;
Feng, Zhong-kai
;
Zeng, Ming
;
Feng, Bao-fei
;
Min, Yao-wu
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/12/02
Monthly streamflow prediction
Ensemble empirical mode decomposition (EEMD)
Extreme learning machine (ELM)
Improved gravitational search algorithm (IGSA)
Mutation and selection operators
A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 卷号: 113, 页码: 515-530
作者:
Zhao, Fuqing
;
Xue, Feilong
;
Zhang, Yi
;
Ma, Weimin
;
Zhang, Chuck
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/15
Gravitational search algorithm
Differential evolution
Self-adaptive mechanism
Crossover and mutation operation
Exploration and exploitation
A maximum power point tracking method for PV system with improved gravitational search algorithm
期刊论文
APPLIED SOFT COMPUTING, 2018, 卷号: 65, 页码: 333-348
作者:
Li, Ling-Ling
;
Lin, Guo-Qian
;
Tseng, Ming-Lang
;
Tan, Kimhua
;
Lim, Ming K.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
PV system
MPPT
Partial shading
Improved gravitational search algorithm
Particle swarm algorithm
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm
期刊论文
Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541
作者:
Liu, Hui
;
Duan, Zhu
;
Han, Feng-ze
;
Li, Yan-fei*
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/12/03
NWP
numerical weather prediction
CS
Cuckoo search
FS
fuzzy system
WRF
weather research and forecasting
KF
Kalman filter
ARIMA
auto-regressive integrated moving average
ARCH
autoregressive conditional heteroskedasticity
ANN
artificial neural networks
SVM
support vector machine
CRO
Coral Reefs optimization algorithm
ELM
extreme learning machine
MFNN
multi-layer feed-forward neural network
SPSA
simultaneous perturbation stochastic approximation
HM
Hammerstein Model
AR
auto-regressive
AdaBoost
adaptive boosting
MLP
multilayer perceptron
DNN-MRT
deep neural network based meta regression and transfer learning
WD
wavelet decomposition
FEEMD
fast ensemble empirical mode decomposition
EMD
empirical mode decomposition
WPD
wavelet packet decomposition
SSA
singular spectrum analysis
BFGS
Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation
LSSVM
least square support vector machine
PSOGSA
partial swarm optimization combined with gravitational search algorithm
FCM
fuzzy C-means
EEMD
ensemble empirical mode decomposition
SampEn
sample entropy
VMD
variational mode decomposition
MAdaBoost
Modified AdaBoost.RT
WF
wavelet filter
MAE
mean absolute error
MAPE
mean absolute percentage error
RMSE
root mean squared error
CWT
continuous wavelet transform
DWT
discrete wavelet transform
LMD
local mean decomposition
ADMM
alternate direction method of multipliers
Big multi-step wind speed forecasting
Wavelet decomposition
Variational mode decomposition
Sample entropy
Modified adaBoost.RT
Wavelet filter
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