Designing model and control system using evolutionary algorithms

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  author =       "Marko Corn and Maja Atanasijevic-Kunc",
  title =        "Designing model and control system using evolutionary
  journal =      "IFAC-PapersOnLine",
  volume =       "48",
  number =       "1",
  pages =        "526--531",
  year =         "2015",
  note =         "8th Vienna International Conference on Mathematical
                 Modelling, MATHMOD 2015",
  ISSN =         "2405-8963",
  DOI =          "doi:10.1016/j.ifacol.2015.05.106",
  URL =          "",
  abstract =     "In the paper several types of evolutionary algorithms
                 have been tested regarding the dynamic nonlinear
                 multivariable system model. We have defined three
                 problems regarding the observed system: the first is
                 the so-called grey box identification where we search
                 for the characteristic of the system's valve, the
                 second problem is black box identification where we
                 search the model of the system with the usage of
                 system's measurements and the third one is a system's
                 controller design. We solved these problems with the
                 usage of genetic algorithms, differential evolution,
                 evolutionary strategies, genetic programming and a
                 developed approach called AMEBA algorithm. All methods
                 have been proven to be very useful for solving problems
                 of the grey box identification and design of the
                 controller for the mentioned system but AMEBA algorithm
                 have also been successfully used in black box
                 identification problem where it generated a suitable
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 algorithms, ameba, dynamic systems",

Genetic Programming entries for Marko Corn Maja Atanasijevic-Kunc