PSO Algorithm Based on Immune Mechanism for IIR Digital Filter Design

Particle swarm optimization has poor diversity,slow convergence speed and is easy to trap into local optimum during the course of searching.Clonal selection mechanism and idiotypic immune network theory exhibited in biological immune system are introduced into particle swarm optimization algorithm,and the particle swarm optimization algorithm based on immune mechanism is proposed and is applied to the design of IIR digital filter.The proposed algorithms have both the properties of the original particle swarm optimization algorithm and the immune diversity keeping mechanism,and can improve the abilities of seeking the global optimum and evolution speed.The simulation results show that the proposed approach has preferable global convergent ability and stability in multi-modal search space,and is a feasible and high efficiency design method for IIR digital filter design.