Study of Electricity Consumption Forecasting Model Based on Gene Expression Programming

Author(s):  
Lin Jiangpeng ◽  
Li Jing
2013 ◽  
Vol 416-417 ◽  
pp. 739-742
Author(s):  
Xue Chen Wang ◽  
Xiao Guang Yue

In order to study a mine rescue robot model, gene expression programming algorithm is studied. The gene expression programming Algorithm can simulate many scientific models, and has been successfully applied in many aspects. Particle swarm optimization algorithm is discussed. Each member of the particle swarm optimization group can study its own experience and other members' experience to continuously change their search mode. Finally, a coal mine rescue robot model based on the gene expression programming and particle swarm optimization is put forward.


2012 ◽  
Vol 198-199 ◽  
pp. 777-780
Author(s):  
Ming Fang Wang ◽  
Jie Wang ◽  
Zhao Xu Wang

With time as the independent variable to model the dynamic system is beneficial for system analysis, and also can provide guidance forecast for the changes of system future. The methods are the basic GEP algorithm based on time series model to predict, this article will give GEP algorithm hybrid model to predict the time series method.


2016 ◽  
Vol 75 (9) ◽  
Author(s):  
Manoj Khandelwal ◽  
Danial Jahed Armaghani ◽  
Roohollah Shirani Faradonbeh ◽  
P. G. Ranjith ◽  
Saber Ghoraba

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