应用遗传算法求解非线性问题的全局解的方法

本文是探讨了在matlab环境中实现遗传算法,通过求解一个非线性极小化问题,先用一般的方法求解该问题,然后再用遗传算法求解,通过对求解结果的分析说明该算法能够对函数的全局最优进行搜索,深刻体现了遗传算法的优越性。

This article discussed has realized the genetic algorithm in the matlab environment,through solved a misalignment minimization problem,used the general method to solve this question first,then used the genetic algorithm to solve again,through to solved the result the analysis to explain that this algorithm could be most superior to the function overall situation carries on the search,has manifested the genetic algorithm superiority profoundly.