Tuning Genetic Programming parameters with factorial designs

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{deLima:2010:cec,
  author =       "Elisa Boari {de Lima} and Gisele L. Pappa and 
                 Jussara Marques {de Almeida} and Marcos A. Goncalves and 
                 Wagner Meira",
  title =        "Tuning Genetic Programming parameters with factorial
                 designs",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Parameter setting of Evolutionary Algorithms is a time
                 consuming task with two main approaches: parameter
                 tuning and parameter control. In this work we describe
                 a new methodology for tuning parameters of Genetic
                 Programming algorithms using factorial designs,
                 one-factor designs and multiple linear regression. Our
                 experiments show that factorial designs can be used to
                 determine which parameters have the largest effect on
                 the algorithm's performance. This way, parameter
                 setting efforts can focus on them, largely reducing the
                 parameter search space. Two classical GP problems were
                 studied, with six parameters for the first problem and
                 seven for the second. The results show the maximum tree
                 depth as the parameter with the largest effect on both
                 problems. A one-factor design was performed to
                 fine-tune tree depth on the first problem and a
                 multiple linear regression to fine-tune tree depth and
                 number of generations on the second.",
  DOI =          "doi:10.1109/CEC.2010.5586084",
  notes =        "WCCI 2010. Also known as \cite{5586084}",
}

Genetic Programming entries for Elisa Boari de Lima Gisele L Pappa Jussara Marques de Almeida Marcos Andre Goncalves Wagner Meira

Citations