混沌和进化规划在数字滤波器优化设计中的应用

Chaos and Evolutionary Programming Algorithm Applied to Designing Digital Filters

该文将进化规划用于数字滤波器的优化设计，并在进化规划中利用混沌模型构造了一种随机开关，以此来控制进化规划中的变异运算，从而可以快速有效地实现全局寻优。文中给出的计算机模拟结果表明了这种新算法的有效性及该算法用于滤波器参数优化的应用前景。

Chaos and evolutionary programming algorithm (EP) approach to IIR digital filtering is presented in this paper. A random switching in EP is constructed by a chaotic model, in EP the mutation operation can be controlled. The results show that new EP algorithm can be used to search for the optimum parameters of a filter.