Analog circuit design using genetic algorithms with fuzzy fitness function

Abstract

This paper presents an approach to the design of analog circuits based on operational amplifiers using genetic algorithms. The input parameter is the transfer function of the required system. The fitness function of the genetic algorithm is implemented by means of a fuzzy inference system. This article includes the synthesis of the methodology used in the design and also some results with a specific topology for two transfer functions.