Using feedback in a regulatory network computational device

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

  author =       "Rui L. Lopes and Ernesto Costa",
  title =        "Using feedback in a regulatory network computational
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "1499--1506",
  keywords =     "genetic algorithms, genetic programming, Generative
                 and developmental systems",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001778",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "The relationship between the genotype and the
                 phenotype in Evolutionary Algorithms (EA) is a
                 recurrent issue among researchers. Based on our current
                 understanding of the multitude of the regulatory
                 mechanisms that are fundamental in both processes of
                 inheritance and of development in natural systems, some
                 researchers start exploring computationally this new
                 insight, including those mechanism in the EA. The
                 Artificial Gene Regulatory (ARN) model, proposed by
                 Wolfgang Banzhaf was one of the first tentatives.
                 Following his seminal work some variants were proposed
                 with increased capabilities. In this paper, we present
                 another modification of this model, consisting in the
                 use the regulatory network as a computational device
                 where feedback edges are used. Using two classical
                 benchmarks, the n-bit parity and the Fibonacci sequence
                 problems, we show experimentally the effectiveness of
                 the proposal.",
  notes =        "Also known as \cite{2001778} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",

Genetic Programming entries for Rui Lopes Ernesto Costa