This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)
Designing Electronic Circuits by Means of Gene Expression Programming
Istanbul, Turkey
June 15-June 18
ISBN: 0-7695-2614-4
ASCII Text
x 
 
Xue-song Yan, Wei Wei, Rui Liu, San-you Zeng, Li-shan Kang, "Designing Electronic Circuits by Means of Gene Expression Programming," Adaptive Hardware and Systems, NASA/ESA Conference on, pp. 194-199, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/AHS.2006.31,
author = {Xue-song Yan and Wei Wei and Rui Liu and San-you Zeng and Li-shan Kang},
title = {Designing Electronic Circuits by Means of Gene Expression Programming},
journal ={Adaptive Hardware and Systems, NASA/ESA Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2614-4},
pages = {194-199},
doi = {http://doi.ieeecomputersociety.org/10.1109/AHS.2006.31},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Adaptive Hardware and Systems, NASA/ESA Conference on
TI - Designing Electronic Circuits by Means of Gene Expression Programming
SN - 0-7695-2614-4
SP194
EP199
A1 - Xue-song Yan,
A1 - Wei Wei,
A1 - Rui Liu,
A1 - San-you Zeng,
A1 - Li-shan Kang,
PY - 2006
KW - null
VL - 0
JA - Adaptive Hardware and Systems, NASA/ESA Conference on
ER -
 
Xue-song Yan, University of Geosciences, China
Wei Wei, University of Geosciences, China
Rui Liu, University of Geosciences, China
San-you Zeng, University of Geosciences, China
Li-shan Kang, University of Geosciences, China
This work investigates the application of Gene Expression Programming(GEP) in the field of evolutionary electronics. GEP is a genetic algorithm as it uses populations of individuals, selects them according to fitness, and introduces genetic variation using one or more genetic operators. We propose the new means for designing electronic circuits and introduces the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies this means has proved to be efficient, experiments show that we have better results.
Citation:
Xue-song Yan, Wei Wei, Rui Liu, San-you Zeng, Li-shan Kang, "Designing Electronic Circuits by Means of Gene Expression Programming," ahs, pp.194-199, First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.