DocumentCode
3046128
Title
Analog circuit design using genetic algorithms with fuzzy fitness function
Author
Hostos, H. ; Sanabria, F. ; Melgarejo, M.
Author_Institution
Lab. of Autom., Microelectron. & Comput. Intell., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
fYear
2010
fDate
15-17 Sept. 2010
Firstpage
1
Lastpage
5
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.
Keywords
analogue integrated circuits; genetic algorithms; operational amplifiers; transfer functions; analog circuit design; fuzzy fitness function; fuzzy inference system; genetic algorithms; input parameter; operational amplifiers; transfer function; Algorithm design and analysis; Analog circuits; Biological cells; Fuzzy systems; Pragmatics; Topology; Transfer functions; analog circuit; fitness function; fuzzy inference system; genetic algorithm; operational amplifier; transfer function;
fLanguage
English
Publisher
ieee
Conference_Titel
ANDESCON, 2010 IEEE
Conference_Location
Bogota
Print_ISBN
978-1-4244-6740-2
Type
conf
DOI
10.1109/ANDESCON.2010.5633391
Filename
5633391
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