Optimization of High Pass Filter Approximation with Evolutionary Algorithms

Abstract

In this work, coefficients of a high-pass analog filter transfer function are optimized with evolutionary algorithms. The aim is to approximate transfer characteristic obtained with coefficients optimized with Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms to ideal high-pass fitler characteristic. Simulation results show that approximation errors obtained with evolutionary methods in short computation time is less than traditional methods.