An Analysis of Explicit Loops in Genetic Programming
X. Li, and V. Ciesielski. Proceedings of the 2005 IEEE Congress on Evolutionary
Computation, 3, page 2522--2529. Edinburgh, UK, IEEE Press, (2-5 September 2005)
Abstract
we analyse the reasons why evolving programs with a
restricted form of loops is superior to evolving
programs without loops for two problems which have
underlying repetitive characteristics - a visit every-
square problem and a modified Santa Fe ant problem. We
show that in the case of loops there is a larger number
of solutions with smaller tree sizes. We show that the
computational patterns captured in the bodies of the
loops are reflective of repeating patterns in the
domain. We show that the increased computational cost
of evaluating an individual can be controlled by domain
knowledge.
%0 Conference Paper
%1 li:2005:CECx
%A Li, Xiang
%A Ciesielski, Vic
%B Proceedings of the 2005 IEEE Congress on Evolutionary
Computation
%C Edinburgh, UK
%D 2005
%E Corne, David
%E Michalewicz, Zbigniew
%E Dorigo, Marco
%E Eiben, Gusz
%E Fogel, David
%E Fonseca, Carlos
%E Greenwood, Garrison
%E Chen, Tan Kay
%E Raidl, Guenther
%E Zalzala, Ali
%E Lucas, Simon
%E Paechter, Ben
%E Willies, Jennifier
%E Guervos, Juan J. Merelo
%E Eberbach, Eugene
%E McKay, Bob
%E Channon, Alastair
%E Tiwari, Ashutosh
%E Volkert, L. Gwenn
%E Ashlock, Dan
%E Schoenauer, Marc
%I IEEE Press
%K ADL, STGP algorithms, ant, forloops, genetic iteration, modified programming,
%P 2522--2529
%T An Analysis of Explicit Loops in Genetic Programming
%V 3
%X we analyse the reasons why evolving programs with a
restricted form of loops is superior to evolving
programs without loops for two problems which have
underlying repetitive characteristics - a visit every-
square problem and a modified Santa Fe ant problem. We
show that in the case of loops there is a larger number
of solutions with smaller tree sizes. We show that the
computational patterns captured in the bodies of the
loops are reflective of repeating patterns in the
domain. We show that the increased computational cost
of evaluating an individual can be controlled by domain
knowledge.
%@ 0-7803-9363-5
@inproceedings{li:2005:CECx,
abstract = {we analyse the reasons why evolving programs with a
restricted form of loops is superior to evolving
programs without loops for two problems which have
underlying repetitive characteristics - a visit every-
square problem and a modified Santa Fe ant problem. We
show that in the case of loops there is a larger number
of solutions with smaller tree sizes. We show that the
computational patterns captured in the bodies of the
loops are reflective of repeating patterns in the
domain. We show that the increased computational cost
of evaluating an individual can be controlled by domain
knowledge.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Edinburgh, UK},
author = {Li, Xiang and Ciesielski, Vic},
biburl = {https://www.bibsonomy.org/bibtex/2f5258c7b9224ced2c21b5786481f3c02/brazovayeye},
booktitle = {Proceedings of the 2005 IEEE Congress on Evolutionary
Computation},
editor = {Corne, David and Michalewicz, Zbigniew and Dorigo, Marco and Eiben, Gusz and Fogel, David and Fonseca, Carlos and Greenwood, Garrison and Chen, Tan Kay and Raidl, Guenther and Zalzala, Ali and Lucas, Simon and Paechter, Ben and Willies, Jennifier and Guervos, Juan J. Merelo and Eberbach, Eugene and McKay, Bob and Channon, Alastair and Tiwari, Ashutosh and Volkert, L. Gwenn and Ashlock, Dan and Schoenauer, Marc},
interhash = {d29f33dc0026176a373b14a69da20dcb},
intrahash = {f5258c7b9224ced2c21b5786481f3c02},
isbn = {0-7803-9363-5},
keywords = {ADL, STGP algorithms, ant, forloops, genetic iteration, modified programming,},
month = {2-5 September},
notes = {CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.},
organisation = {IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)},
pages = {2522--2529},
publisher = {IEEE Press},
publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA},
timestamp = {2008-06-19T17:45:34.000+0200},
title = {An Analysis of Explicit Loops in Genetic Programming},
volume = 3,
year = 2005
}