Study of brushless excitation system parameters estimation based on improved genetic algorithm

2008 ◽  
Author(s):  
Shen Feng ◽  
Xin Jianbo ◽  
Wu Guoping ◽  
Xie Yong-hong
Keyword(s):  
Genetic Algorithm ◽  
Parameters Estimation ◽  
Improved Genetic Algorithm ◽  
Excitation System ◽  
System Parameters ◽  
Brushless Excitation

Application of Improved Genetic Algorithm in Determination of Parameters of S-P Water Quality Model

2012 ◽  
Vol 610-613 ◽  
pp. 1705-1709
Author(s):  
Bing Xiang Liu ◽  
Xiao Liang Lai ◽  
Qun Cao ◽  
Xiang Cheng
Keyword(s):  
Genetic Algorithm ◽  
Water Quality ◽  
Water Quality Model ◽  
Parameters Estimation ◽  
Improved Genetic Algorithm ◽  
Quality Model ◽  
Important Work ◽  
Determination Of Parameters ◽  
Very High

Determination of parameters is an important work for establishing the water quality model to perform the mathematical simulation. In this paper, the improved genetic algorithm is applied in evaluation of the parameters of S-P water quality model. This method has overcome the shortages of parameters estimation as before. The computed results have indicated this method with a very high precision and easy realized by the computer.

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