Hybrid Search Strategy for IIR Filter Design

Abstract

In previous work, the design method of IIR filters using PSO (Particle Swarm Optimization) has been proposed. However, it is known that an objective function of the design problem has a region like a saddle point and a lot of local minimums under the min-max criterion. Those characteristics cause one of the factors of the stagnation. In this paper, a design method IIR filters using PSO with penalty and CSO (Cat Swarm Optimization) is proposed for enumerating a lot of local minimums and a succesive search in such the region. Design examples are shown to present the effectiveness of the proposed method.