Designing Electronic Circuits by Means of Gene
Expression Programming
X. song Yan, W. Wei, R. Liu, S. you Zeng, and L. Kang. First NASA/ESA Conference on Adaptive Hardware and
Systems (AHS 2006),, page 194--199. Istanbul, Turkey, IEEE Computer Society, (15-18 June 2006)
Abstract
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.
%0 Conference Paper
%1 conf/ahs/YanWLZK06
%A song Yan, Xue
%A Wei, Wei
%A Liu, Rui
%A you Zeng, San
%A Kang, Lishan
%B First NASA/ESA Conference on Adaptive Hardware and
Systems (AHS 2006),
%C Istanbul, Turkey
%D 2006
%E Stoica, Adrian
%E Arslan, Tughrul
%E Suess, Martin
%E Yalcin, Senay
%E Keymeulen, Didier
%E Higuchi, Tetsuya
%E Zebulum, Ricardo Salem
%E Aydin, Nizamettin
%I IEEE Computer Society
%K EHW Expression Gene Programming, algorithms, genetic programming,
%P 194--199
%T Designing Electronic Circuits by Means of Gene
Expression Programming
%U http://doi.ieeecomputersociety.org/10.1109/AHS.2006.31
%X 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.
%@ 0-7695-2614-4
@inproceedings{conf/ahs/YanWLZK06,
abstract = {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.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Istanbul, Turkey},
author = {song Yan, Xue and Wei, Wei and Liu, Rui and you Zeng, San and Kang, Lishan},
bibdate = {2007-02-12},
bibsource = {DBLP,
http://dblp.uni-trier.de/db/conf/ahs/ahs2006.html#YanWLZK06},
biburl = {https://www.bibsonomy.org/bibtex/2249fb037bd4ff2da0389f7f527f53741/brazovayeye},
booktitle = {First {NASA}/{ESA} Conference on Adaptive Hardware and
Systems ({AHS} 2006),},
editor = {Stoica, Adrian and Arslan, Tughrul and Suess, Martin and Yal{\c c}in, Senay and Keymeulen, Didier and Higuchi, Tetsuya and Zebulum, Ricardo Salem and Aydin, Nizamettin},
interhash = {1b159188ecb9371ef946717d7e52e18f},
intrahash = {249fb037bd4ff2da0389f7f527f53741},
isbn = {0-7695-2614-4},
keywords = {EHW Expression Gene Programming, algorithms, genetic programming,},
month = {15-18 June},
pages = {194--199},
publisher = {IEEE Computer Society},
timestamp = {2008-06-19T17:54:43.000+0200},
title = {Designing Electronic Circuits by Means of Gene
Expression Programming},
url = {http://doi.ieeecomputersociety.org/10.1109/AHS.2006.31},
year = 2006
}