Guiding function set selection in genetic programming based on fitness landscape analysis

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

  author =       "Quang Uy Nguyen and Cong Doan Truong and 
                 Xuan Hoai Nguyen and Michael O'Neill",
  title =        "Guiding function set selection in genetic programming
                 based on fitness landscape analysis",
  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 =        "149--150",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  URL =          "",
  DOI =          "doi:10.1145/2464576.2466800",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper attempts to provide a guideline for
                 function set selection based on fitness landscape
                 analysis. We used two well-known techniques,
                 autocorrelation function and information content, to
                 analyse the fitness landscape of each function set. We
                 tested these methods on a large number of real-valued
                 symbolic regression problems and the experimental
                 results showed that there is a strong relationship
                 between autocorrelation function value and the
                 performance of a function set. Therefore,
                 autocorrelation function can be used as a good
                 indicator for selecting an appropriate function set for
                 a problem.",
  notes =        "Also known as \cite{2466800} Distributed at

Genetic Programming entries for Quang Uy Nguyen Cong Doan Truong Nguyen Xuan Hoai Michael O'Neill