基于遗传算法的非线性系统参数优化方法

Parametric Optimization in Nonlinear System Based on Genetic Algorithms

提出了一种基于遗传算法的非线性系统参数仿真优化方法,解决了非线性系统参数优化问题。由于遗传算法是在解空间的多个区域内进行搜索,能以较大的概率跳出局部最优,因此可找到整体最优解。仿真结果表明,该方法是一种有效的非线性系统参数优化方法。

In this paper, an optimization method of non-lineal system parameters based on genetic algorithms is presented which solves the problem of parameter optimization in non-lineal systems. As the genetic algorithms method can be used to search in various regions of a solution space, and to jump out of partial optimization by a greater probability to achieve an overall optimization. The result of simulation shows that the method is an effective one of optimization.