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

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