Title :
Synthesis of analog circuits using evolutionary hardware
Author :
Salazar, Fabio A. ; Mesquita, A.
Author_Institution :
Programa de Engenharia Eletrica, Rio de Janeiro, Brazil
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;
Conference_Titel :
Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on
Conference_Location :
Rio de Janeiro, RJ
Print_ISBN :
0-7695-0856-1
DOI :
10.1109/SBRN.2000.889721
