Adaptive strategies for a semantically driven tree
optimizer to control code growth
B. Wyns, and L. Boullart. GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation, 2, page 1762--1762. London, ACM Press, (7-11 July 2007)
Abstract
In genetic programming many methods to fight growth
exist. But most of these methods require one or
multiple parameters to be set. Unfortunately
performance strongly depends on a correct setting of
each of those parameters. Recently a semantically
driven tree optimiser has been developed. In this paper
two adaptive strategies to choose a reasonable
parameter setting for this growth limiter are
presented.
GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation
year
2007
month
7-11 July
pages
1762--1762
publisher
ACM Press
volume
2
organisation
ACM SIGEVO (formerly ISGEC)
publisher_address
New York, NY, USA
isbn13
978-1-59593-697-4
notes
GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071
%0 Conference Paper
%1 1277312
%A Wyns, Bart
%A Boullart, Luc
%B GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation
%C London
%D 2007
%E Thierens, Dirk
%E Beyer, Hans-Georg
%E Bongard, Josh
%E Branke, Jurgen
%E Clark, John Andrew
%E Cliff, Dave
%E Congdon, Clare Bates
%E Deb, Kalyanmoy
%E Doerr, Benjamin
%E Kovacs, Tim
%E Kumar, Sanjeev
%E Miller, Julian F.
%E Moore, Jason
%E Neumann, Frank
%E Pelikan, Martin
%E Poli, Riccardo
%E Sastry, Kumara
%E Stanley, Kenneth Owen
%E Stutzle, Thomas
%E Watson, Richard A
%E Wegener, Ingo
%I ACM Press
%K Boolean Poster, adaptive algorithms, ant, artificial control, fuzzy genetic logic problems, programming:
%P 1762--1762
%T Adaptive strategies for a semantically driven tree
optimizer to control code growth
%U http://doi.acm.org/10.1145/1276958.1277312
%V 2
%X In genetic programming many methods to fight growth
exist. But most of these methods require one or
multiple parameters to be set. Unfortunately
performance strongly depends on a correct setting of
each of those parameters. Recently a semantically
driven tree optimiser has been developed. In this paper
two adaptive strategies to choose a reasonable
parameter setting for this growth limiter are
presented.
@inproceedings{1277312,
abstract = {In genetic programming many methods to fight growth
exist. But most of these methods require one or
multiple parameters to be set. Unfortunately
performance strongly depends on a correct setting of
each of those parameters. Recently a semantically
driven tree optimiser has been developed. In this paper
two adaptive strategies to choose a reasonable
parameter setting for this growth limiter are
presented.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {London},
author = {Wyns, Bart and Boullart, Luc},
biburl = {https://www.bibsonomy.org/bibtex/2b93b17bdb5cbea4e564d0674f9e3a8a9/brazovayeye},
booktitle = {GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation},
editor = {Thierens, Dirk and Beyer, Hans-Georg and Bongard, Josh and Branke, Jurgen and Clark, John Andrew and Cliff, Dave and Congdon, Clare Bates and Deb, Kalyanmoy and Doerr, Benjamin and Kovacs, Tim and Kumar, Sanjeev and Miller, Julian F. and Moore, Jason and Neumann, Frank and Pelikan, Martin and Poli, Riccardo and Sastry, Kumara and Stanley, Kenneth Owen and Stutzle, Thomas and Watson, Richard A and Wegener, Ingo},
interhash = {1714aa94e616ffe506831b5cbbe5af81},
intrahash = {b93b17bdb5cbea4e564d0674f9e3a8a9},
isbn13 = {978-1-59593-697-4},
keywords = {Boolean Poster, adaptive algorithms, ant, artificial control, fuzzy genetic logic problems, programming:},
month = {7-11 July},
notes = {GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071},
organisation = {ACM SIGEVO (formerly ISGEC)},
pages = {1762--1762},
publisher = {ACM Press},
publisher_address = {New York, NY, USA},
timestamp = {2008-06-19T17:54:35.000+0200},
title = {Adaptive strategies for a semantically driven tree
optimizer to control code growth},
url = {http://doi.acm.org/10.1145/1276958.1277312},
volume = 2,
year = 2007
}