Analytic programming - Symbolic Regression by means of arbitrary Evolutionary Algorithms

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@Article{Zelinka:2005:IJSSST,
  author =       "Ivan Zelinka and Zuzana Oplatkova and Lars Nolle",
  title =        "Analytic programming - Symbolic Regression by means of
                 arbitrary Evolutionary Algorithms",
  journal =      "International Journal of Simulation Systems, Science
                 \& Technology",
  year =         "2005",
  volume =       "6",
  number =       "9",
  pages =        "44--56",
  month =        aug,
  note =         "Special Issue on: Intelligent Systems",
  keywords =     "genetic algorithms, genetic programming, symbolic
                 regression, grammar evolution, differential evolution,
                 analytic programming, SOMA",
  ISSN =         "1473-8031",
  URL =          "http://ducati.doc.ntu.ac.uk/uksim/journal/Vol-6/No.9/Paper5.pdf",
  size =         "13 pages",
  abstract =     "This contribution introduces analytical programming, a
                 novel method that allows solving various problems from
                 the symbolic regression domain. Symbolic regression was
                 first proposed by J. R. Koza in his genetic programming
                 and by C. Ryan in grammatical evolution. This
                 contribution explains the main principles of analytic
                 programming, and demonstrates its ability to synthesise
                 suitable solutions, called programs. It is then
                 compared in its structure with genetic programming and
                 grammatical evolution. After theoretical part, a
                 comparative study concerned with Boolean k-symmetry and
                 k-even problems from Koza's genetic programming domain
                 is done with analytical programming. Here, two
                 evolutionary algorithms are used with analytical
                 programming: differential evolution and self-organising
                 migrating algorithm. Boolean k-symmetry and k-even
                 problems comparative study here are continuation of
                 previous comparative studies done by analytic
                 programming in the past.",
  notes =        "A publication of the United Kingdom Simulation Society
                 http://ducati.doc.ntu.ac.uk/uksim/journal/Vol-6/No.9/cover.htm",
}

Genetic Programming entries for Ivan Zelinka Zuzana Oplatkova Lars Nolle

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