GECCO 2013 tutorial: cartesian genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Julian F. Miller",
  title =        "GECCO 2013 tutorial: cartesian genetic programming",
  booktitle =    "GECCO '13 Companion: Proceeding of the fifteenth
                 annual conference companion on Genetic and evolutionary
                 computation conference companion",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and 
                 Thomas Bartz-Beielstein and Daniele Loiacono and 
                 Francisco Luna and Joern Mehnen and Gabriela Ochoa and 
                 Mike Preuss and Emilia Tantar and Leonardo Vanneschi and 
                 Kent McClymont and Ed Keedwell and Emma Hart and 
                 Kevin Sim and Steven Gustafson and 
                 Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and 
                 Nikolaus Hansen and Olaf Mersmann and Petr Posik and 
                 Heike Trautmann and Muhammad Iqbal and Kamran Shafi and 
                 Ryan Urbanowicz and Stefan Wagner and 
                 Michael Affenzeller and David Walker and Richard Everson and 
                 Jonathan Fieldsend and Forrest Stonedahl and 
                 William Rand and Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton and Gisele L. Pappa and 
                 John Woodward and Jerry Swan and Krzysztof Krawiec and 
                 Alexandru-Adrian Tantar and Peter A. N. Bosman and 
                 Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and 
                 David L. Gonzalez-Alvarez and 
                 Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and 
                 Kenneth Holladay and Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-1964-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "715--740",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2464578",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Cartesian Genetic Programming (CGP) is an increasingly
                 popular and efficient form of Genetic Programming.
                 Cartesian Genetic Programming is a highly cited
                 technique that was developed by Julian Miller in 1999
                 and 2000 from some earlier joint work of Julian Miller
                 with Peter Thomson in 1997.

                 In its classic form, it uses a very simple integer
                 based genetic representation of a program in the form
                 of a directed graph. Graphs are very useful program
                 representations and can be applied to many domains
                 (e.g. electronic circuits, neural networks). In a
                 number of studies, CGP has been shown to be
                 comparatively efficient to other GP techniques. It is
                 also very simple to program.

                 Since then, the classical form of CGP has been
                 developed made more efficient in various ways. Notably
                 by including automatically defined functions (modular
                 CGP) and self-modification operators (self-modifying
                 CGP). SMCGP was developed by Julian Miller, Simon
                 Harding and Wolfgang Banzhaf. It uses functions that
                 cause the evolved programs to change themselves as a
                 function of time. Using this technique it is possible
                 to find general solutions to classes of problems and
                 mathematical algorithms (e.g. arbitrary parity, n-bit
                 binary addition, sequences that provably compute pi and
                 e to arbitrary precision, and so on).

                 This tutorial is will cover the basic technique,
                 advanced developments and applications to a variety of
                 problem domains. The first edited book on CGP was
                 published by Springer in September 2011. CGP has its
                 own dedicated website",
  notes =        "Also known as \cite{2464578} Distributed at

Genetic Programming entries for Julian F Miller