Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming

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@Article{rodriguez-vazquez:its,
  author =       "Katya Rodriguez-Vazquez and Carlos M. Fonseca and 
                 Peter J. Fleming",
  title =        "Identifying the structure of nonlinear dynamic systems
                 using multiobjective genetic programming",
  journal =      "IEEE Transactions on Systems, Man and Cybernetics,
                 Part A",
  volume =       "34",
  number =       "4",
  month =        jul,
  year =         "2004",
  pages =        "531--545",
  keywords =     "genetic algorithms, genetic programming,
                 identification, mathematical programming, nonlinear
                 systems, polynomials evolutionary algorithm,
                 multiobjective genetic programming, nonlinear dynamic
                 systems, nonlinear polynomial dynamic, system
                 identification",
  ISSN =         "1083-4427",
  DOI =          "doi:10.1109/TSMCA.2004.826299",
  abstract =     "A method for identifying the structure of nonlinear
                 polynomial dynamic models is presented. This approach
                 uses an evolutionary algorithm, genetic programming, in
                 a multiobjective fashion to generate global models
                 which describe the dynamic behaviour of the nonlinear
                 system under investigation. The validation stage of
                 system identification is simultaneously evaluated using
                 the multiobjective tool, in order to direct the
                 identification process to a set of global models of the
                 system.",
}

Genetic Programming entries for Katya Rodriguez-Vazquez Carlos M Fonseca Peter J Fleming

Citations