Meta-Genetic Programming: Co-evolving the Operators of Variation

by

Edmonds, B.

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Info: 1998
Keywords:genetic algorithms, genetic programming, automatic programming, genetic operators, co-evolution
Abstract:
The standard Genetic Programming approach [GP] is augmented by co-evolving the genetic operators. To [GO] do this the operators are coded as trees of indefinite length. In order for this technique to work, the language that the operators are defined in must be such that it preserves the variation in the base population. This technique can varied by adding further populations of operators and changing which populations act as operators for others, including itself, thus to provide a framework for a whole set of augmented GP techniques. The technique is tested on the parity problem. The pros and cons of the technique are discussed.
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BibTex:
@TechReport{edmonds:1998:mGPcov,
  author =       "Bruce Edmonds",
  title =        "Meta-Genetic Programming: Co-evolving the Operators of
                 Variation",
  institution =  "Centre for Policy Modelling, Manchester Metropolitan
                 University, UK",
  year =         "1998",
  type =         "CPM Report",
  number =       "98-32",
  address =      "Aytoun St., Manchester, M1 3GH. UK",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, automatic
                 programming, genetic operators, co-evolution",
  URL =          "http://www.cpm.mmu.ac.uk/cpmrep32.html",
  abstract =     "The standard Genetic Programming approach is augmented
                 by co-evolving the genetic operators. To do this the
                 operators are coded as trees of indefinite length. In
                 order for this technique to work, the language that the
                 operators are defined in must be such that it preserves
                 the variation in the base population. This technique
                 can varied by adding further populations of operators
                 and changing which populations act as operators for
                 others, including itself, thus to provide a framework
                 for a whole set of augmented GP techniques. The
                 technique is tested on the parity problem. The pros and
                 cons of the technique are discussed.",
}