Paper Title
An Efficient Design of FIR Filter by using Improved Particle Swarm Optimization Algorithm

In this paper, design band pass finite impulse response (FIR) filter using Improved Particle Swarm Optimization Algorithm. The filter determination is to be realized PSO algorithm produces the best coefficients and attempt to meet the ideal frequency response. Particle swarm optimization (PSO) proposes a condition for the velocity vector and updated particle position. Improved Particle Swarm Optimization (IPSO) is a improved PSO that propose global search ability of the PSO is especially enhanced with help of modified fitness function and solution quality is also improved. In the design process, feasible pass band and stop band ripple sizes is specified. A comparison of simulation results reveals the optimization efficiency of the improved PSO algorithm over the PSO optimization technique for the solution of the multimodal, non-differentiable, highly non-linear filter design issues. Keywords - Band-Pass Filter, FIR Filter, Optimization, PSO, IPSO