An approach for Linear Phase FIR low Pass and High Pass Filter Design using AHA Algorithm

In this paper a new heuristic optimization algorithm called Artificial Hummingbird Optimization (AHA) is proposed for the design of FIR low and high pass filters(LPF and HPF). The AHA optimization technique models the different flight skills and foraging strategies of hummingbird. A set of optimized filter coefficients is generated using the AHA algorithm in order to achieve the desired specifications. The obtained results of the AHA algorithm are compared with PSO, BFO, GWO and BAT algorithms in terms of passband ripples(PBR), stopband attenuation(SBA), stopband ripples (SBR) and transition width (TW).