A compact charge-based model to study the nanoscale undoped double gate MOSFETs for nanoelectronic circuit design using genetic algorithms

2013 ◽  
Vol 34 (4) ◽  
pp. 044003
Author(s):  
T. Bendib ◽  
F. Djeffal ◽  
D. Arar
1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Y. M. A. Khalifa ◽  
D. H. Horrocks

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.


Integration ◽  
1999 ◽  
Vol 28 (2) ◽  
pp. 121-139 ◽  
Author(s):  
Rolf Drechsler ◽  
Bernd Becker ◽  
Nicole Drechsler

2014 ◽  
Vol 7 ◽  
pp. 39-52 ◽  
Author(s):  
Junki Kato ◽  
Shigeyoshi Watanabe ◽  
Hiroshi Ninomiya ◽  
Manabu Kobayashi ◽  
Yasuyuki Miura

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