Journal of Ecology and Rural Environment ›› 1997, Vol. 13 ›› Issue (4): 39-42.doi:

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The Acceleration Genetic Algorithm and Its Applications in Optimizing Parameters of Environmental Nonlinear Mathematical Models

 JIN  Ju-Liang, YANG  Xiao-Hua, WEI  Yi-Ming, CHU  Kai-Feng, LI  Jian-Qiang   

  1. School of Hydrogy and Environment, Hehai University
  • Received:1997-06-02 Revised:1997-07-10 Online:1997-11-10 Published:2012-03-20

Abstract: The Acceleration Genetic Algorithm is presented for optimizing coefficients of environmental nonlinear models. The characteristics of the algorithm are analyzed. The comparison of the algorithm with some traditional optimization methods was made, and the former was found to be better than any of the traditional methods. 

Key words: genetic algorithm, acceleration genetic algorithm, optimization of parameters, nonlinear mathematical models

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