Extended rule-based genetic network programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Xianneng Li and Kotaro Hirasawa",
  title =        "Extended rule-based genetic network 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, genetic
                 network programming",
  pages =        "155--156",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  URL =          "http://doi.acm.org/10.1145/2464576.2464655",
  DOI =          "doi:10.1145/2464576.2464655",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Recent advances in rule-based systems, i.e., Learning
                 Classifier Systems (LCSs), have shown their sequential
                 decision-making ability with a generalisation property.
                 In this paper, a novel LCS named eXtended rule-based
                 Genetic Network Programming (XrGNP) is proposed.
                 Different from most of the current LCSs, the rules are
                 represented and discovered through a graph-based
                 evolutionary algorithm GNP, which consequently has the
                 distinct expression ability to model and evolve the
                 if-then decision-making rules. Experiments on a
                 benchmark multi-step problem (so-called Reinforcement
                 Learning problem) demonstrate its effectiveness.",
  notes =        "Also known as \cite{2464655} Distributed at

Genetic Programming entries for Xianneng Li Kotaro Hirasawa