On the evolution of scale-free topologies with a gene regulatory network model

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@Article{Nicolau2009137,
  author =       "Miguel Nicolau and Marc Schoenauer",
  title =        "On the evolution of scale-free topologies with a gene
                 regulatory network model",
  journal =      "Biosystems",
  volume =       "98",
  number =       "3",
  pages =        "137--148",
  year =         "2009",
  note =         "Evolving Gene Regulatory Networks",
  ISSN =         "0303-2647",
  DOI =          "doi:10.1016/j.biosystems.2009.06.006",
  URL =          "http://www.sciencedirect.com/science/article/B6T2K-4WNRK69-2/2/013f6a014ede1c6a867b6d15f547d2f2",
  keywords =     "genetic algorithms, genetic programming, Gene
                 regulatory network, Scale-free topologies, Evolutionary
                 computation",
  abstract =     "A novel approach to generating scale-free network
                 topologies is introduced, based on an existing
                 artificial gene regulatory network model. From this
                 model, different interaction networks can be extracted,
                 based on an activation threshold. By using an
                 evolutionary computation approach, the model is allowed
                 to evolve, in order to reach specific network
                 statistical measures. The results obtained show that,
                 when the model uses a duplication and divergence
                 initialisation, such as seen in nature, the resulting
                 regulation networks not only are closer in topology to
                 scale-free networks, but also require only a few
                 evolutionary cycles to achieve a satisfactory error
                 value.",
}

Genetic Programming entries for Miguel Nicolau Marc Schoenauer

Citations