Dynamic Maximum Tree Depth

Created by W.Langdon from gp-bibliography.bib Revision:1.4067

@InProceedings{silva:2003:gecco,
  author =       "Sara Silva and Jonas Almeida",
  title =        "Dynamic Maximum Tree Depth",
  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 Almeida

Citations