基于MATLAB的非线性方程组遗传解法

Approach for Solving Nonlinear Equations with Genetic Algorithm Based on MATLAB

将非线性方程组的求解问题转化为用遗传算法求解目标函数的最小值问题,利用MATLAB的遗传算法与直接搜索工具箱(GADS)对目标函数求取最小值。计算结果表明,用该方法求得的非线性方程组近似解精度较高。

The problem of solving nonlinear equations is transformed into that of minimizing object function using genetic algorithm. The object function is minimized using Genetic Algorithm and Direct Search Toolbox （GADS） based on MATLAB. The calculation results show that the approximate solution of nonlinear equations is obtained with higher precision by using this method.