Optimized FIR Filter Design Based on Self-adaptive Genetic Algorithm

The goal of optimized FIR filter design is approaching to the ideal performance of IIR filter.Genetic algorithm is an optimal probability search algorithm,imitating the process of biology evolution,which has proposed an universal method to solve optimized problems of complex system,independent of domain and kind of problems.The proposed algorithm applying self-adaptive genetic algorithm to optimized IIR filter design,and adjusting cross probability and mute probability self-adaptively by evaluating premature convergence degree to improve search efficiency of genetic algorithm.The simulation results demonstrate that the proposed algorithm can achieve satisfying capability of filter.