Comparison of Two Evolvable Systems in the Automated Analog Circuit Synthesis

This paper presents the comparison of two different algorithms: a Univariate Marginal Distribution Algorithm for Analog Circuits (UMDA-AC) and a Genetic Algorithm for Analog Circuits (GA-AC). These algorithms are compared in performing the synthesis of topology and sizing of an analog low pass filter. Modeling of circuits is made by means of a linear representation technique with a variable length chromosome. Evaluation of circuits´ functionality is carried out by Simulation Program with Integrated Circuits Emphasis (Spice), since one of the objectives is to keep as low as possible the amount of non Spice-Simulable circuits while keep elements´ values within preferred ones. Experiments show the effectiveness of a set of evolvable mechanisms in both algorithms, and while GA-AC and its three genetic operators are more able to keep low the rate of non Spice-Simulable circuits; UMDA-AC performs less evaluations by means of its estimated distribution.