Depth-dependent crossover in genetic programming with frequent trees

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

@InProceedings{Ono:2012:SMC,
  author =       "Keiko Ono and Yoshiko Hanada and 
                 Katsushi Shirakawa and Masahito Kumano and Masahiro Kimura",
  booktitle =    "IEEE International Conference on Systems, Man, and
                 Cybernetics (SMC 2012)",
  title =        "Depth-dependent crossover in genetic programming with
                 frequent trees",
  year =         "2012",
  address =      "Seoul, Korea",
  month =        oct # " 14-17",
  pages =        "359--363",
  DOI =          "doi:10.1109/ICSMC.2012.6377727",
  abstract =     "One of the most well studied issues in genetic
                 programming is how to make building blocks efficiently.
                 To make building blocks, it is important to find the
                 substructures that appear in the individuals with
                 higher fitness. Recently, a method based on frequent
                 substructures has been proposed, and it has shown good
                 performance; however, the depth of trees is not
                 considered in the method. In this paper, we propose a
                 hybrid crossover that involves the consideration of a
                 combination of frequent trees and the depth of trees
                 and apply the proposed method to symbolic regression
                 problems. We experimentally demonstrate the
                 effectiveness of the proposed method.",
  keywords =     "genetic algorithms, genetic programming, regression
                 analysis, trees (mathematics), building blocks,
                 depth-dependent crossover, frequent substructures,
                 frequent trees, hybrid crossover, symbolic regression
                 problems, tree depth, Conferences, Data mining,
                 Educational institutions, Informatics, Sociology,
                 Statistics, Adaptive Crossover, Depth-control Scheme,
                 Frequent Tree",
  notes =        "Also known as \cite{6377727}",
}

Genetic Programming entries for Keiko Ono Yoshiko Hanada Katsushi Shirakawa Masahito Kumano Masahiro Kimura

Citations