Parametric Optimization in Nonlinear System Based on Genetic Algorithms

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.