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.

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。