PolyGP: A Polymorphic Genetic Programming System in Haskell

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "T. Yu and C. Clack",
  title =        "PolyGP: A Polymorphic Genetic Programming System in
  booktitle =    "Late Breaking Papers at the GP-97 Conference",
  year =         "1997",
  editor =       "John Koza",
  pages =        "264--273",
  address =      "Stanford, CA, USA",
  publisher_address = "Stanford, California, 94305-3079 USA",
  month =        "13-16 " # jul,
  publisher =    "Stanford Bookstore",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/pgp.new.pdf",
  abstract =     "In general, the machine learning process can be
                 accelerated through the use of heuristic knowledge
                 about the problem solution. For example, monomorphic
                 typed Genetic Programming (GP) uses type information to
                 reduce the search space and improve performance.
                 Unfortunately, monomorphic typed GP also loses the
                 generality of untyped GP: the generated programs are
                 only suitable for inputs with the specified type.
                 Polymorphic typed GP improves over monomorphic and
                 untyped GP by allowing the type information to be
                 expressed in a more generic manner, and yet still
                 imposes constraints on the search space. This paper
                 describes a polymorphic GP system which can generate
                 polymorphic programs: programs which take inputs of
                 more than one type and produces outputs of more than
                 one type. We also demonstrate its operation through the
                 generation of the {"}map{"} polymorphic program.",
  size =         "6 pages",
  notes =        "GP-97LB",

Genetic Programming entries for Tina Yu Christopher D Clack