Y. Shan, H. Abbass, R. McKay, and D. Essam. Proceedings of the Sixth Australia-Japan Joint
Workshop on Intelligent and Evolutionary Systems, Australian National University, Canberra, Australia, (30 November 2002)
Abstract
AntTAG in 4, which combines ant search and GGGP, is
a promising new method for program automatic synthesis.
This paper studied the behavior of AntTAG on a specific
symbolic regression problem. Based on observations, we
slightly tailored AntTAG for this specific problem.
This tailored version showed impressive performance.
Experiments using AntTAG on more challenging symbolic
regressions have been conducted. AntTAG significantly
outperformed its GP counterpart, TAGGGP 6.
%0 Conference Paper
%1 shan:2002:AJJW
%A Shan, Y.
%A Abbass, H.
%A McKay, R. I.
%A Essam, D.
%B Proceedings of the Sixth Australia-Japan Joint
Workshop on Intelligent and Evolutionary Systems
%C Australian National University, Canberra, Australia
%D 2002
%E Sarker, Ruhul
%E McKay, Bob
%K algorithms, genetic grammar programming,
%T AntTAG: a Further Study
%U http://www.cs.adfa.edu.au/~shanyin/publications/aj02.pdf
%X AntTAG in 4, which combines ant search and GGGP, is
a promising new method for program automatic synthesis.
This paper studied the behavior of AntTAG on a specific
symbolic regression problem. Based on observations, we
slightly tailored AntTAG for this specific problem.
This tailored version showed impressive performance.
Experiments using AntTAG on more challenging symbolic
regressions have been conducted. AntTAG significantly
outperformed its GP counterpart, TAGGGP 6.
@inproceedings{shan:2002:AJJW,
abstract = {AntTAG in [4], which combines ant search and GGGP, is
a promising new method for program automatic synthesis.
This paper studied the behavior of AntTAG on a specific
symbolic regression problem. Based on observations, we
slightly tailored AntTAG for this specific problem.
This tailored version showed impressive performance.
Experiments using AntTAG on more challenging symbolic
regressions have been conducted. AntTAG significantly
outperformed its GP counterpart, TAGGGP [6].},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Australian National University, Canberra, Australia},
author = {Shan, Y. and Abbass, H. and McKay, R. I. and Essam, D.},
biburl = {https://www.bibsonomy.org/bibtex/287937e3fe39771665dad733d920ec925/brazovayeye},
booktitle = {Proceedings of the Sixth Australia-Japan Joint
Workshop on Intelligent and Evolutionary Systems},
editor = {Sarker, Ruhul and McKay, Bob},
interhash = {5c4abb6e95efd7c38037cbc5e8f5045c},
intrahash = {87937e3fe39771665dad733d920ec925},
keywords = {algorithms, genetic grammar programming,},
month = {30 November},
notes = {AJJW2002 in conjunction with AI02
http://www.cs.adfa.edu.au/~abbass/AI02/},
size = {8 pages},
timestamp = {2008-06-19T17:51:32.000+0200},
title = {Ant{TAG}: a Further Study},
url = {http://www.cs.adfa.edu.au/~shanyin/publications/aj02.pdf},
year = 2002
}