改进量子遗传算法及其在FIR滤波器设计中的应用

Improved quantum genetic algorithm and its application in FIR filter design

在对遗传算法和量子遗传算法分析和比较的基础上,提出了一种改进的量子遗传算法,并通过典型函数的优化验证各算法性能的优劣。将改进的量子遗传算法应用于优化求解频率取样法设计FIR滤波器过程中的过渡点样值,实验结果表明算法可以得到更佳的设计参数。

Based on the research and comparison of genetic algorithm and quantum genetic algorithm,an improved quantum ge-netic algorithm was presented,the result of its application in the optimization of classical functions proved its capability,the latter was used to optimize the transition-points＇values which produced in the process of designing FIR filter with frequency sampling method.The results of simulated experiment shows its superiority to get better parameters.