Analysis of Building Blocks with Numerical Simplification in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "David Kinzett and Mengjie Zhang and Mark Johnston",
  title =        "Analysis of Building Blocks with Numerical
                 Simplification in Genetic Programming",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "289--300",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_25",
  abstract =     "This paper investigates the effect of numerical
                 simplification on building blocks during evolution in
                 genetic programming. The building blocks considered are
                 three level subtrees. We develop a method for encoding
                 building blocks for the analysis. Compared with the
                 canonical genetic programming method, numerical
                 simplification can generate much smaller programs, use
                 much shorter evolutionary training time and achieve
                 comparable effectiveness performance.",
  notes =        "Might be better to call these fragments of trees
                 schemata rather than building blocks -- they have
                 nothing to do with fitness (footnote 2, p290). Part of
                 \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010 held in
                 conjunction with EvoCOP2010 EvoBIO2010 and

Genetic Programming entries for David Kinzett Mengjie Zhang Mark Johnston