一种改进猫群优化算法的数字滤波器设计

A Digital Filter Design Based on an Improved Cat Swarm Optimization Algorithm

针对传统智能算法在无限脉冲响应(IIR)数字滤波器设计面临的收敛速度较慢和容易陷入局部极值等问题,提出了一种基于猫群优化算法的IIR数字滤波器设计方法。猫群优化算法分为搜寻模式和跟踪模式,通过对猫群行为的观察,改进猫群的行为模式并利用该算法设计IIR数字滤波器,经过与利用粒子群算法与自由搜索算法设计的滤波器进行比较,证明用本文算法设计的数字滤波器有更好的效果。

Aiming at solving the problems such as the slow convergence rate of the traditional intelligent algorithm in the design of an Infinite Impulse Response （IIR） digital filter and the char acteristic of falling into the local extremum easily, an IIR digital filter design method based on the cat swarm optimization algorithm is proposed. The cat swarm algorithm is divided into a search mode and a tracking mode. Through the observation of the behavior of the cat swarm, the behavior pattern of the cats is improved, and the IIR digital filter is designed by using the algorithm. The particle swarm algorithm and the free search algorithm are performed on the filter design. The corn parison shows that the digital filter designed by this algorithm has better results.