非线性变参数估计的遗传算法

Genetic Algorithms Application in Nonlinear Parameter Estimation

在将遗传算法应用于非线性系统的变参数估计的基础上，提出了一种基于实数编码方案的自适应遗传变参数估计的一般算法，较好地解决了传统算法难以很好解决的变参数估计问题．通过在实践中应用表明，遗传算法在解决复杂非线性系统变参数估计方面具有较好的应用前景。

Applying genetic algorithms to changing parameter estimation of nonlinear system, this paper presents a general method of genetic changing parameter estimation in view of float encoding and adaptive mutation operator. The method solves the question of changing parameter estimation, which is difficult to solve with traditional method. The method is applied to a actual example and a good result is achieved.