Optimized design of digital IIR filter using artificial bee colony algorithm

In this paper, a meta-heuristic algorithm known as artificial bee colony (ABC) algorithm is employed for the design of digital infinite impulse response (IIR) filter based on nonlinear minimization of mean square error (MSE) between the ideal and desired responses of the filter. In this method, stability of IIR filter during design is assured by using lattice structure as it makes easy to maintain the stability with less computation cost. In addition to this, it also helps in designing higher order filter with better search capability. Performance of the algorithm is justified by comparing the fidelity parameter with existing algorithms, followed by a detailed analysis of different types of filter.