Self-tuning Geometric Semantic GP

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Mauro Castelli and Luca Manzoni and Sara Silva and 
                 Leonardo Vanneschi",
  title =        "Self-tuning Geometric Semantic GP",
  booktitle =    "Semantic Methods in Genetic Programming",
  year =         "2014",
  editor =       "Colin Johnson and Krzysztof Krawiec and 
                 Alberto Moraglio and Michael O'Neill",
  address =      "Ljubljana, Slovenia",
  month =        "13 " # sep,
  note =         "Workshop at Parallel Problem Solving from Nature 2014
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  size =         "2 pages",
  abstract =     "In Geometric Semantic GP (GSGP), similarly to normal
                 GP, parameter tuning is necessary to attain good
                 performances. Here we introduce a method for
                 self-tuning GSGP that not only saves the user the
                 tuning task, but it also outperforms traditional
                 hand-tuned GSGP.",
  notes =        "SMGP 2014",

Genetic Programming entries for Mauro Castelli Luca Manzoni Sara Silva Leonardo Vanneschi