Design of Infinite Impulse Response Filter Using Particle Swarm Optimization and its Invariants

Abstract

In this paper, Particle Swarm Optimization (PSO) and its invariant techniques are used in designing the low-pass digital Infinite Impulse Response filter. The invariants that are taken into consideration are modified PSO, PSO with Constriction factor and inertia weight Approach (PSO-CFIWA), and Craziness based PSO. The modified PSO is obtained by varying the value of the velocity of the particle. PSO-CFIWA is derived by adding a construction factor. In craziness-based PSO, a signum function is added to the velocity of the particle. The Effectiveness and performance of this algorithm in digital filter design have been presented and compared