Optimized Analog Filter Approximation via Evolutionary Algorithms

Abstract

In this work, fast and efficient evolutionary algorithms, Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), Differential Evolution (DE), Harmony Search (HS) are used to optimize the denominator coefficients of the low-pass filter transfer function. Optimum selection of the coefficients will approximate the transfer function to ideal characteristic. Three different order of transfer functions are taken into consideration. Compared to conventional methods, all evolutionary algorithms obtain less approximation error in a short computation time.