吴国辉, 代冀阳, 吴印华, 朱国民. 一种新的求解非线性方程组的混合遗传算法[J]. 南昌航空大学学报(自然科学版), 2007, 21(1): 5-9.
引用本文: 吴国辉, 代冀阳, 吴印华, 朱国民. 一种新的求解非线性方程组的混合遗传算法[J]. 南昌航空大学学报(自然科学版), 2007, 21(1): 5-9.
WU Guo-hui, DAI Ji-yang, WU Yin-hua, ZHU Guo-min. A new hybrid genetic algorithm for solving nonlinear equations[J]. Journal of nanchang hangkong university(Natural science edition), 2007, 21(1): 5-9.
Citation: WU Guo-hui, DAI Ji-yang, WU Yin-hua, ZHU Guo-min. A new hybrid genetic algorithm for solving nonlinear equations[J]. Journal of nanchang hangkong university(Natural science edition), 2007, 21(1): 5-9.

一种新的求解非线性方程组的混合遗传算法

A new hybrid genetic algorithm for solving nonlinear equations

  • 摘要: 为了解决实际工程中经常遇到的求解非线性方程组的问题,作者提出了求解非线性方程组的一种新的思维,即首先将非线性方程组的数值求解问题转化为最优化问题,然后利用浮点遗传算法全局群体搜索能力及起始搜索速度快的特点,快速得到接近精确解的较优解,之后将其作为拟牛顿法迭代的初始值,利用其局部寻优能力非常强的特点,快速迭代至精确解.该混合遗传算法充分利用了浮点遗传算法与拟牛顿法的各自优点.

     

    Abstract: We put forward a new method for solving nonlinear equations which areoften met in practice.At first,we transform the problems of solving nonlinear equations into the optimization problems,then take advantage of excellence of the floating genetic algorithms,gain the superior resulting which is close to the precise result quickly,and then take the resulting as the original value of the quasi-Newton iterations,which have strong ability in converging to precise result in the local part,iterating to the precise result quickly.The hybrid genetic algorithm absorbs the merits of the floating genetic algorithm and the quasi-Newton iterations fully.At last,we verify the hybrid genetic algorithm by two examples,the result shows that the algorithm has highly convergent velocity and reliable convergent resulting,so the hybrid genetic algorithm is a successful algorithm used for solving nonlinear equations.

     

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