Operator equalisation for bloat free genetic programming and a survey of bloat control methods

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Silva:2012:GPEM,
  author =       "Sara Silva and Stephen Dignum and Leonardo Vanneschi",
  title =        "Operator equalisation for bloat free genetic
                 programming and a survey of bloat control methods",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2012",
  volume =       "13",
  number =       "2",
  pages =        "197--238",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-011-9150-5",
  size =         "42 pages",
  abstract =     "Bloat can be defined as an excess of code growth
                 without a corresponding improvement in fitness. This
                 problem has been one of the most intensively studied
                 subjects since the beginnings of Genetic Programming.
                 This paper begins by briefly reviewing the theories
                 explaining bloat, and presenting a comprehensive survey
                 and taxonomy of many of the bloat control methods
                 published in the literature through the years.
                 Particular attention is then given to the new Crossover
                 Bias theory and the bloat control method it inspired,
                 Operator Equalisation (OpEq). Two implementations of
                 OpEq are described in detail. The results presented
                 clearly show that Genetic Programming using OpEq is
                 essentially bloat free. We discuss the advantages and
                 shortcomings of each different implementation, and the
                 unexpected effect of OpEq on overfitting. We observe
                 the evolutionary dynamics of OpEq and address its
                 potential to be extended and integrated into different
                 elements of the evolutionary process.",
  affiliation =  "INESC-ID Lisboa, Rua Alves Redol 9, 1000-029 Lisboa,
                 Portugal",
}

Genetic Programming entries for Sara Silva Stephen Dignum Leonardo Vanneschi

Citations