Design of FIR Filter Using Biogeography Based Optimization

Digital signal processing (DSP) systems require filters to fulfill their needs for particular frequency characteristics. This paper presents designing and optimization of digital finite impulse response (FIR) high pass filter. Optimization is a process to bring out the best result for an objective function. BBO is the algorithm which is based on the biogeography of organisms in a habitat. The algorithm has certain modified variants such as BBO with chaos, enhanced BBO, blended BBO and BBO with immigration refusal (IR) which are used to optimize the filter and then compared with each other. The works concludes that out of various variants, blended BBO shines out with optimum results for a given set of parameters. The convergence profiles of these variants proved blended BBO as better converging variant of BBO.