Initialization method for grammar-guided genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "M. Garcia-Arnau and D. Manrique and J. Rios and 
                 A. Rodriguez-Paton",
  title =        "Initialization method for grammar-guided genetic
  journal =      "Knowledge-Based Systems",
  year =         "2007",
  volume =       "20",
  number =       "2",
  pages =        "127--133",
  month =        mar,
  note =         "AI 2006, The 26th SGAI International Conference on
                 Innovative Techniques and Applications of Artificial
  keywords =     "genetic algorithms, genetic programming,
                 Grammar-guided genetic programming, Initialisation
                 method, Tree-generation algorithm, Breast cancer
                 prognosis, GGGP",
  DOI =          "doi:10.1016/j.knosys.2006.11.006",
  abstract =     "This paper proposes a new tree-generation algorithm
                 for grammar-guided genetic programming that includes a
                 parameter to control the maximum size of the trees to
                 be generated. An important feature of this algorithm is
                 that the initial populations generated are adequately
                 distributed in terms of tree size and distribution
                 within the search space. Consequently, genetic
                 programming systems starting from the initial
                 populations generated by the proposed method have a
                 higher convergence speed. Two different problems have
                 been chosen to carry out the experiments: a laboratory
                 test involving searching for arithmetical equalities
                 and the real-world task of breast cancer prognosis. In
                 both problems, comparisons have been made to another
                 five important initialisation methods.",

Genetic Programming entries for M Garcia-Arnau Daniel Manrique Gamo Juan Rios Carrion Alfonso Rodriguez-Paton Aradas