On Naive Crossover Biases with Reproduction for Simple Solutions to Classification Problems

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

@InProceedings{Terrio:ONC:gecco2004,
  author =       "M. David Terrio and Malcolm I. Heywood",
  title =        "On Naive Crossover Biases with Reproduction for Simple
                 Solutions to Classification Problems",
  booktitle =    "Genetic and Evolutionary Computation -- GECCO-2004,
                 Part II",
  year =         "2004",
  editor =       "Kalyanmoy Deb and Riccardo Poli and 
                 Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and 
                 Paul Darwen and Dipankar Dasgupta and Dario Floreano and 
                 James Foster and Mark Harman and Owen Holland and 
                 Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and 
                 Dirk Thierens and Andy Tyrrell",
  series =       "Lecture Notes in Computer Science",
  pages =        "678--689",
  address =      "Seattle, WA, USA",
  publisher_address = "Heidelberg",
  month =        "26-30 " # jun,
  organisation = "ISGEC",
  publisher =    "Springer-Verlag",
  volume =       "3103",
  ISBN =         "3-540-22343-6",
  ISSN =         "0302-9743",
  DOI =          "doi:10.1007/b98645",
  URL =          "http://users.cs.dal.ca/~mheywood/X-files/Publications/dave-GECCO04.pdf",
  size =         "12",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "A series of simple biases to the selection of
                 crossover points in tree structured genetic programming
                 are investigated with respect to the provision of
                 parsimonious solutions. Such a set of biases has a
                 minimal computational overhead as they are based on
                 information already used to estimate the fitness of
                 individuals. Reductions to code bloat are demonstrated
                 for the real world classification problems
                 investigated. Moreover, bloated solutions provided by a
                 uniform crossover operator often appear to defeat the
                 application of MAPLE simplification heuristics.",
  notes =        "GECCO-2004 A joint meeting of the thirteenth
                 international conference on genetic algorithms
                 (ICGA-2004) and the ninth annual genetic programming
                 conference (GP-2004)",
}

Genetic Programming entries for M David Terrio Malcolm Heywood

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