Open AccessAnalog Circuit Design Automation Tool Using Genetic Algorithms
Author(s) -
Y.M.A. Khalifa,
D.H. Horrocks
Publication year - 1970
Publication title -
iium engineering journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.141
H-Index - 6
eISSN - 2289-7860
pISSN - 1511-788X
DOI - 10.31436/iiumej.v1i1.328
Subject(s) - electronic circuit , analogue electronics , genetic algorithm , set (abstract data type) , algorithm , computer science , electronic engineering , circuit design , electronic design automation , key (lock) , computer engineering , mixed signal integrated circuit , filter (signal processing) , engineering , electrical engineering , embedded system , machine learning , computer security , programming language
An investigation into the application of Genetic Algorithms (GA) for the design of electronic analog circuits is presented in this paper. In this paper an investigation of the use of genetic algorithms into the problem of analog circuits design is presented. In a single design stage, circuits are produced that satisfy specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values. The extra degrees of freedom resulting from unbounded circuit structures create a huge search space. It is shown in this paper that Genetic Algorithms can be successfully used to search this space. The application chosen is a LC all pass ladder filter circuit design.Key Words: Computer-Aided Design, Analog Circuits, Artificial Intelligence.