Design of IIR filter using Gbest guided cuckoo search algorithm

Abstract

The design of IIR filter is a challenging task and this paper presents a design of IIR filter using Whale Optimisation Algorithm (WOA), Artificial Bee Colony (ABC) Algorithm, Cuckoo Search Algorithm (CSA) and Gbest Guided Cuckoo Search (GCS) Algorithm. A modified version of a recently developed meta-heuristic algorithm CSA is GCS, where some changes are implemented to make the algorithm faster and parameter independent. Simulation results from different experimental design cases (on the transfer function of 2nd, 3rd and 4th order respectively) affirm that GCS converges faster; furthermore, the computational time required is less than WOA, ABC and CSA. It is found that in the case of GCS, the computational time required for designed IIR filter using 2nd, 3rd and 4th order transfer functions are 0.00043 s., 0.00035 s and 0.0000569 s, every 100 iterations respectively.