Optimal Designing of Fir Filter with Hybrid Bat Optimization Algorithm

Abstract

In the present article, a unique optimization innovation is implemented for designing a linear phase finite impulse response (FIR) filter with wanted parameter details. A new optimization technique is proposed in this work using the hybrid of Bat and Seeker optimization algorithms and filter coefficients are designed using Particle Swarm Optimization (PSO), Bat, Seeker and Hybrid optimization technique. Using these algorithms, the optimum coefficients of the impulse response for the variant filters are determined to fulfil their ideal response features. In hybrid optimization, the parameters of both the Bat and Seeker are combined to explore the merits of both the techniques. Initially, the echolocation capability of bat is utilized and in accordance with that the approximate location of the target is found. Immediately after this to reach at the optimal value, the search direction property of seeker is taken into effect. This designed technique proved its efficiency in terms of results and implementation. In comparison to traditional optimization algorithms, these techniques do not stuck on local optimal solution. Simulative results of these techniques are presented and compared on the base of their pass band as well as stop ripples.