Optimization of the Design Parameters of Low Pass Filter Using Genetic Algorithm

Abstract

Analog filters are currently used for many purposes in most electronic circuits. For example, noise removal, digital signal conversion to analog, enhancing signals, etc. Filters play a significant role in the modern world, since the world is fundamentally analogous in nature. These filters can be designed with different approximations, since most of them are deterministic and sensitive to information about gradients. Numerical optimization techniques cannot offer ideal solutions. Meta heuristic algorithms can provide an opportunity to address these challenges. A Genetic Algorithm (GA) based optimization approach is presented in this paper for the optimization of the design parameters of 3rd order analog filters.