Solving Even-Parity Problems using Traceless Genetic
Programming
M. Oltean. Proceedings of the 2004 IEEE Congress on Evolutionary
Computation, 2, page 1813--1819. Portland, Oregon, IEEE Press, (20-23 June 2004)
Abstract
A new Genetic Programming (GP) variant called
Traceless Genetic Programming (TGP) is proposed in this
paper. The main difference between TGP and other GP
techniques is that TGP does not explicitly store the
evolved computer programs. TGP is applied for evolving
digital circuits for the even-parity problem. Numerical
experiments show that TGP outperforms standard GP with
several orders of magnitude.
%0 Conference Paper
%1 oltean:2004:seputgp
%A Oltean, Mihai
%B Proceedings of the 2004 IEEE Congress on Evolutionary
Computation
%C Portland, Oregon
%D 2004
%I IEEE Press
%K Evolutionary \& algorithms, design evolvable genetic hardware, parity programming, traceless
%P 1813--1819
%T Solving Even-Parity Problems using Traceless Genetic
Programming
%U http://www.tgp.cs.ubbcluj.ro/oltean_tgp.pdf
%V 2
%X A new Genetic Programming (GP) variant called
Traceless Genetic Programming (TGP) is proposed in this
paper. The main difference between TGP and other GP
techniques is that TGP does not explicitly store the
evolved computer programs. TGP is applied for evolving
digital circuits for the even-parity problem. Numerical
experiments show that TGP outperforms standard GP with
several orders of magnitude.
%@ 0-7803-8515-2
@inproceedings{oltean:2004:seputgp,
abstract = {A new Genetic Programming (GP) variant called
Traceless Genetic Programming (TGP) is proposed in this
paper. The main difference between TGP and other GP
techniques is that TGP does not explicitly store the
evolved computer programs. TGP is applied for evolving
digital circuits for the even-parity problem. Numerical
experiments show that TGP outperforms standard GP with
several orders of magnitude.},
added-at = {2008-06-19T17:46:40.000+0200},
address = {Portland, Oregon},
author = {Oltean, Mihai},
biburl = {https://www.bibsonomy.org/bibtex/27a980d8befc85d3203d7d9af49812c0e/brazovayeye},
booktitle = {Proceedings of the 2004 IEEE Congress on Evolutionary
Computation},
email = {moltean@cs.ubbcluj.ro},
interhash = {8873a5103af884d4c9e25af65a0d27cb},
intrahash = {7a980d8befc85d3203d7d9af49812c0e},
isbn = {0-7803-8515-2},
keywords = {Evolutionary \& algorithms, design evolvable genetic hardware, parity programming, traceless},
month = {20-23 June},
notes = {CEC 2004 - A joint meeting of the IEEE, the EPS, and
the IEE.
Also available at www.tgp.cs.ubbcluj.ro},
pages = {1813--1819},
publisher = {IEEE Press},
size = {7 pages},
timestamp = {2008-06-19T17:48:52.000+0200},
title = {Solving Even-Parity Problems using Traceless Genetic
Programming},
url = {http://www.tgp.cs.ubbcluj.ro/oltean_tgp.pdf},
volume = 2,
year = 2004
}