An Examination of Synchronisation in Artificial Gene Regulatory Networks

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

  title =        "An Examination of Synchronisation in Artificial Gene
                 Regulatory Networks",
  author =       "Jonathan Byrne and Miguel Nicolau and 
                 Anthony Brabazon and Michael O'Neill",
  pages =        "2764--2769",
  booktitle =    "Proceedings of the 2014 IEEE Congress on Evolutionary
  year =         "2014",
  month =        "6-11 " # jul,
  editor =       "Carlos A. {Coello Coello}",
  address =      "Beijing, China",
  publisher =    "IEEE Press",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 Developmental Systems, Complex Networks and
                 Evolutionary Computation",
  DOI =          "doi:10.1109/CEC.2014.6900385",
  abstract =     "An Artificial Genetic Regulatory Network (GRN) is a
                 model of the gene expression regulation mechanism in
                 biological organisms. It is a dynamical system that is
                 capable of mimicking non-linear time series. The GRN
                 was adapted to allow for input and output so that the
                 system's rich dynamics could be used for dynamic
                 problem solving. In order for the GRN to be embedded in
                 the environment, the time scale of the physical system
                 has to be mapped to that of the GRN and so a
                 synchronisation process was introduced. This work
                 examines the impact of different synchronisation
                 intervals and how they effect the overall performance
                 of the GRN. A variable synchronisation step that stops
                 once the system has stabilised is also explored as a
                 mechanism for automatically choosing the interval
  notes =        "Also known as \cite{Byrne:2014:CEC}",

Genetic Programming entries for Jonathan Byrne Miguel Nicolau Anthony Brabazon Michael O'Neill