An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design

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@Article{Zhan2009176,
  author =       "Song Zhan and Julian F. Miller and Andy M. Tyrrell",
  title =        "An evolutionary system using development and
                 artificial Genetic Regulatory Networks for electronic
                 circuit design",
  journal =      "Biosystems",
  volume =       "98",
  number =       "3",
  pages =        "176--192",
  year =         "2009",
  note =         "Evolving Gene Regulatory Networks",
  ISSN =         "0303-2647",
  DOI =          "doi:10.1016/j.biosystems.2009.07.008",
  URL =          "http://www.sciencedirect.com/science/article/B6T2K-4X01PGD-1/2/b462ea01f47faac7d2f3fd6703c060de",
  keywords =     "genetic algorithms, genetic programming, Computational
                 development, Computational evolution, Degeneracy,
                 Genetic Regulatory Network, Neutrality, Protein
                 synthesis",
  abstract =     "Biology presents incomparable, but desirable,
                 characteristics compared to engineered systems.
                 Inspired by biological development, we have devised a
                 multi-layered design architecture that attempts to
                 capture the favourable characteristics of biological
                 mechanisms for application to design problems. We have
                 identified and implemented essential features of
                 Genetic Regulatory Networks (GRNs) and cell signalling
                 which lead to self-organisation and cell
                 differentiation. We have applied this to electronic
                 circuit design.",
}

Genetic Programming entries for Song Zhan Julian F Miller Andrew M Tyrrell

Citations