Coevolving functions in genetic programming

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  author =       "Manu Ahluwalia and Larry Bull",
  title =        "Coevolving functions in genetic programming",
  journal =      "Journal of Systems Architecture",
  volume =       "47",
  pages =        "573--585",
  year =         "2001",
  number =       "7",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, ADF,
                 Classification, EDF, Feature selection/extraction,
                 Hierarchical programs, Knn, Speciation",
  ISSN =         "1383-7621",
  DOI =          "doi:10.1016/S1383-7621(01)00016-9",
  URL =          "",
  abstract =     "In this paper we introduce a new approach to the use
                 of automatically defined functions (ADFs) within
                 genetic programming. The technique consists of evolving
                 a number of separate sub-populations of functions which
                 can be used by a population of evolving main programs.
                 We present and refine a set of mechanisms by which the
                 number and constitution of the function sub-populations
                 can be defined and compare their performance on two
                 well-known classification tasks. A final version of the
                 general approach, for use explicitly on classification
                 tasks, is then presented. It is shown that in all cases
                 the coevolutionary approach performs better than
                 traditional genetic programming with and without

Genetic Programming entries for Manu Ahluwalia Larry Bull