Higher-Order Functions in Aesthetic EC Encodings

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{mcdermott_etal:cec2010,
  author =       "James McDermott and Jonathan Byrne and 
                 John Mark Swafford and Michael O'Neill and Anthony Brabazon",
  title =        "Higher-Order Functions in Aesthetic {EC} Encodings",
  booktitle =    "2010 IEEE World Congress on Computational
                 Intelligence",
  pages =        "2816--2823",
  year =         "2010",
  isbn13 =       "978-1-4244-6910-9",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  organization = "IEEE Computation Intelligence Society",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution",
  doi =          "doi:10.1109/CEC.2010.5586077",
  abstract =     "The use of higher-order functions, as a method of
                 abstraction and re-use in EC encodings, has been the
                 subject of relatively little research. In this paper we
                 introduce and give motivation for the ideas of
                 higher-order functions, and describe their general
                 advantages in EC encodings. We implement grammars using
                 higher-order ideas for two problem domains, music and
                 3D architectural design, and use these grammars in the
                 grammatical evolution paradigm. We demonstrate four
                 advantages of higher-order functions (patterning of
                 phenotypes, non-entropic mutations, compression of
                 genotypes, and natural expression of artistic
                 knowledge) which lead to beneficial results on our
                 problems.",
  notes =        "WCCI 2010. Also known as \cite{5586077}",
}

Genetic Programming entries for James McDermott Jonathan Byrne John Mark Swafford Michael O'Neill Anthony Brabazon