Function optimization using cartesian genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Miller:2013:GECCOcomp,
  author =       "Julian F. Miller and Maktuba Mohid",
  title =        "Function optimization using 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 =        "147--148",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2464646",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In function optimisation one tries to find a vector of
                 real numbers that optimises a complex multi-modal
                 fitness function. Although evolutionary algorithms have
                 been used extensively to solve such problems, genetic
                 programming has not. In this paper, we show how
                 Cartesian Genetic Programming can be readily applied to
                 such problems. The technique can successfully find many
                 optima in a standard suite of benchmark functions. The
                 work opens up new avenues of research in the
                 application of genetic programming and also offers an
                 extensive set of highly developed benchmarks that could
                 be used to compare the effectiveness of different GP
                 methodologies.",
  notes =        "Also known as \cite{2464646} Distributed at
                 GECCO-2013.",
}

Genetic Programming entries for Julian F Miller Maktuba Mohid

Citations