Synthesis of analog circuits using evolutionary hardware

Author

Salazar, Fabio A. ; Mesquita, A.

Author_Institution

Programa de Engenharia Eletrica, Rio de Janeiro, Brazil

fYear

2000

fDate

2000

Firstpage

101

Lastpage

106

Abstract

The use of the genetic algorithm as a tool for the automatic synthesis of analog circuits is investigated. The advantages and modifications that can be introduced in the standard genetic algorithm, to improve its performance in this specific application, are discussed. The synthesis of an ideal active low pass filter is used as a test example to emphasize the characteristics and limitations of the genetic algorithm. To improve the simulation time a high level synthesis approach, based on behavioral modeling of the active circuit components, is proposed. The circuit coding is based on the use of adjacency matrices in order to reduce the number of “non-simulable” circuits

Keywords

active filters; analogue circuits; circuit analysis computing; genetic algorithms; low-pass filters; network synthesis; active filter; analog circuit synthesis; circuit coding; evolutionary hardware; genetic algorithm; low pass filter; Active circuits; Analog circuits; Biological cells; Circuit simulation; Circuit synthesis; Circuit testing; Genetic algorithms; Hardware; High level synthesis; Low pass filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on

Conference_Location

Rio de Janeiro, RJ

ISSN

1522-4899

Print_ISBN

0-7695-0856-1

Type

conf

DOI

10.1109/SBRN.2000.889721

Filename

889721