计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (16): 231-232.

• 工程与应用 • 上一篇    下一篇

差分进化算法在双指数拟合中的应用

陈 华,邓少贵,李智强,范宜仁   

  1. 中国石油大学(华东),山东 东营 257061
  • 收稿日期:2007-08-28 修回日期:2007-10-15 出版日期:2008-06-01 发布日期:2008-06-01
  • 通讯作者: 陈 华

Application of differential evolutional algorithm in double exponential fitting

CHEN Hua,DENG Shao-gui,LI Zhi-qiang,FAN Yi-ren   

  1. University of Petroleum China,Dongying,Shandong 257061,China
  • Received:2007-08-28 Revised:2007-10-15 Online:2008-06-01 Published:2008-06-01
  • Contact: CHEN Hua

摘要: 利用差分进化算法较好地解决了一元四参数双指数和两元三参数双指数拟合问题。与传统优化算法相比,不受初值的影响,并具有全局收敛性,与PSO算法相比,收敛速度快,是一种求解非线性约束优化问题的有效方法。

Abstract: It preferably settles the fitting problem of one element four parameter double exponential functions and two element three parameter double exponential functions by using differential evolutional algorithm.Compared with the traditional optimization algorithm,it is not affected by initial value,and has global convergence.Compared with PSO algorithm,it has fast convergence speed.So it is all effective way for nonlinear constrained optimization problems.