An Initialization Method for Grammatical Evolution Assisted by Decision Trees

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Igor L. S. Russo and Heder S. Bernardino and 
                 Carlos C. H. Borges and Helio J. C. Barbosa",
  title =        "An Initialization Method for Grammatical Evolution
                 Assisted by Decision Trees",
  booktitle =    "Proceedings of 2016 IEEE Congress on Evolutionary
                 Computation (CEC 2016)",
  year =         "2016",
  editor =       "Yew-Soon Ong",
  pages =        "3300--3307",
  address =      "Vancouver",
  month =        "24-29 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, Grammatical
  isbn13 =       "978-1-5090-0623-6",
  DOI =          "doi:10.1109/CEC.2016.7744207",
  abstract =     "Grammatical Evolution (GE) is a genetic programming
                 technique in which the candidate solutions are
                 represented using a binary genotype and the programs
                 can be generated through production rules of a formal
                 grammar. Similarly to other evolutionary computation
                 methods, the GE's performance can be improved when an
                 adequate initial population seeding is adopted.
                 Decision trees are widely used to model classifiers in
                 machine learning and their symbolic form can be mapped
                 back to the GE's binary representation of the candidate
                 individuals. Thus, the use of machine learning
                 techniques to generate decision trees to compose the
                 initial population of GE is investigated here.
                 Computational experiments with a real world data set
                 are carried out and the results show an increase of
                 performance when compared to the traditional seeding
  notes =        "WCCI2016",

Genetic Programming entries for Igor L S Russo Heder Soares Bernardino Carlos C H Borges Helio J C Barbosa