A New Approach to Genetic Programming based on Evolution Strategies

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Costa:2006:ICSMC,
  author =       "Eduardo Oliveira Costa and Aurora Pozo",
  title =        "A New Approach to Genetic Programming based on
                 Evolution Strategies",
  booktitle =    "IEEE International Conference on Systems, Man and
                 Cybernetics, ICSMC '06",
  year =         "2006",
  volume =       "6",
  pages =        "4832--4837",
  address =      "Taipei, Taiwan",
  month =        "8-11 " # oct,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4244-0100-3",
  DOI =          "doi:10.1109/ICSMC.2006.385070",
  abstract =     "This paper proposes a new approach to induction of
                 programs by Genetic Progranuning (GP) using the ideas
                 of Evolutionary Strategies (ES). The goal of this work
                 is to develop a variety of Genetic Programming
                 algorithm by doing some modifications on the classical
                 GP algorithm and adding some concepts of Evolutionary
                 Strategies. The new approach was evaluated using two
                 instances of the Symbolic Regression problem - the
                 Binomial-3 problem (a tunably difficult problem),
                 proposed in [5] and the Time Series problem (an
                 application of symbolic regression) - and a problem of
                 a different domain, the Santa Fe Artificial Ant
                 problem. The results discovered were compared with the
                 classical GP algorithm. The Symbolic Regression
                 problems obtained excellent results and an improvement
                 was detected, but this does not happened with the
                 Artificial Ant problem.",
  notes =        "Computer Science Department, Federal University of
                 Parana (UFPR), PO Box 19081, 81531-970, Curitiba,
                 Brazil,",
}

Genetic Programming entries for Eduardo Oliveira Costa Aurora Trinidad Ramirez Pozo

Citations