Analysis of a Digit Concatenation Approach to Constant Creation

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{oneill03,
  author =       "Michael O'Neill and Ian Dempsey and 
                 Anthony Brabazon and Conor Ryan",
  title =        "Analysis of a Digit Concatenation Approach to Constant
                 Creation",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "173--182",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-00971-X",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=173",
  abstract =     "This study examines the utility of employing digit
                 concatenation, as distinct from the traditional
                 expression based approach, for the purpose of evolving
                 constants in Grammatical Evolution. Digit concatenation
                 involves creating constants (either whole or real
                 numbers) by concatenating digits to form a single
                 value. The two methods are compared using three
                 different problems, which are finding a static real
                 constant, finding dynamic real constants, and a
                 quadratic map, which on iteration generates a chaotic
                 time-series. The results indicate that the digit
                 concatenation approach results in a significant
                 improvement in the best fitness obtained across all
                 problems analysed here.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops
                 2003",
}

Genetic Programming entries for Michael O'Neill Ian Dempsey Anthony Brabazon Conor Ryan