基于改进群智能优化算法的数字滤波器设计

Design of IIR digital filter based on modifiedswarm intelligence optimization algorithm

针当前群智能优化算法在IIR数字滤波器设计存在的易陷入最优解,收敛速度慢等不足,提出了一种改进群智能优化算法的IIR数字滤波器设计方法。首先根据引领蜂和跟随蜂选择食物源的行为方式不同的,对跟随蜂在食物源邻域的搜索行为进行改进,使其更加准确地描述出跟随蜂的行为,然后采用其对IIR数字滤波器设计问题进行求解,最后采用仿真实验测试其性能。实验结果表明,相对于其它群智能优化算法,本文算法均取得更好的IIR数字滤波器设计效果,验证了本文方法的优越性。

The traditional swarm intelligence optimization algorithm is easy to fall into the local maximum solutions in IIR digital filter design,and has slow convergence speed shortage etc,this paper put forward a design of IIR digital filter based on modified swarm intelligence optimization algorithm. Firstly,according to the lead and follow the bee choice food source to different behaviors,improvements to follow bees to search behaviors in the food source of the neighborhood,to make it more accurately describe the following bee behavior,and then modified swarm intelligence optimization algorithm is used to solve the IIR digital filter design problem,finally the simulation experiments are carried out to test its performance. The experimental results show that,compared with other swarm intelligence optimization algorithms,the proposed algorithm has achieved better effect of IIR digital filter design,and validate the superiority.