Dynamic Maximum Tree Depth
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{silva:2003:gecco,
-
author = "Sara Silva and Jonas Almeida",
-
title = "Dynamic Maximum Tree Depth",
-
title2 = "A Simple Technique for Avoiding Bloat in Tree-Based
GP",
-
booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
-
editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and
D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and
R. Standish and G. Kendall and S. Wilson and
M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and
A. C. Schultz and K. Dowsland and N. Jonoska and
J. Miller",
-
year = "2003",
-
pages = "1776--1787",
-
address = "Chicago",
-
publisher_address = "Berlin",
-
month = "12-16 " # jul,
-
volume = "2724",
-
series = "LNCS",
-
ISBN = "3-540-40603-4",
-
publisher = "Springer-Verlag",
-
keywords = "genetic algorithms, genetic programming",
-
URL = "http://cisuc.dei.uc.pt/ecos/dlfile.php?fn=109_pub_27241776.pdf",
-
URL = "http://cisuc.dei.uc.pt/ecos/dlfile.php?fn=109_pub_27241776.pdf&idp=109",
-
DOI = "doi:10.1007/3-540-45110-2_69",
-
abstract = "We present a technique, designated as dynamic maximum
tree depth, for avoiding excessive growth of tree-based
GP individuals during the evolutionary process. This
technique introduces a dynamic tree depth limit, very
similar to the Koza-style strict limit except in two
aspects: it is initially set with a low value; it is
increased when needed to accommodate an individual that
is deeper than the limit but is better than any other
individual found during the run. The results show that
the dynamic maximum tree depth technique efficiently
avoids the growth of trees beyond the necessary size to
solve the problem, maintaining the ability to find
individuals with good fitness values. When compared to
lexicographic parsimony pressure, dynamic maximum tree
depth proves to be significantly superior. When both
techniques are coupled, the results are even better.",
-
notes = "GECCO-2003. A joint meeting of the twelfth
International Conference on Genetic Algorithms
(ICGA-2003) and the eighth Annual Genetic Programming
Conference (GP-2003)",
- }
Genetic Programming entries for
Sara Silva
Jonas S Almeida
Citations