Controlling Complex Dynamics with Artificial Biochemical Networks

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

  author =       "Michael Lones and Andy Tyrrell and Susan Stepney and 
                 Leo Caves",
  title =        "Controlling Complex Dynamics with Artificial
                 Biochemical Networks",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "159--170",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_14",
  abstract =     "Artificial biochemical networks (ABNs) are
                 computational models inspired by the biochemical
                 networks which underlie the cellular activities of
                 biological organisms. This paper shows how evolved ABNs
                 may be used to control chaotic dynamics in both
                 discrete and continuous dynamical systems, illustrating
                 that ABNs can be used to represent complex
                 computational behaviours within evolutionary
                 algorithms. Our results also show that performance is
                 sensitive to model choice, and suggest that
                 conservation laws play an important role in guiding
  notes =        "Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
                 held in conjunction with EvoCOP2010 EvoBIO2010 and

Genetic Programming entries for Michael A Lones Andrew M Tyrrell Susan Stepney Leo Caves