The Comparison of Genetic Programming and Variational Genetic Programming for a Control Synthesis Problem on the Model Predator-victim

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@Article{Ibadulla:2017:PCS,
  author =       "S. I. Ibadulla and E. Yu Shmalko and 
                 K. K. Daurenbekov",
  title =        "The Comparison of Genetic Programming and Variational
                 Genetic Programming for a Control Synthesis Problem on
                 the Model Predator-victim",
  journal =      "Procedia Computer Science",
  volume =       "103",
  pages =        "155--161",
  year =         "2017",
  note =         "\{XII\} International Symposium Intelligent Systems
                 2016, \{INTELS\} 2016, 5-7 October 2016, Moscow,
                 Russia",
  ISSN =         "1877-0509",
  DOI =          "doi:10.1016/j.procs.2017.01.041",
  URL =          "http://www.sciencedirect.com/science/article/pii/S187705091730042X",
  abstract =     "The work is devoted to the comparison of two methods
                 of symbolic regression, a method of genetic programming
                 and a variational method of genetic programming. The
                 comparison is made on the basis of the computing
                 experiment, which solved a problem of control system
                 synthesis for a model of nonlinear control object,
                 describing the interaction of the two systems of
                 predator and victim. For the purity of the experiment
                 the genetic algorithms parameters in the both methods
                 were Identical. For variational genetic programming
                 there was selected a trivial basic solution in the form
                 of the sum of input variable products for custom
                 settings. This basic solution is always chosen in the
                 case of the absence of meaningful task analysis. The
                 comparison of methods for the speed of solving the
                 problem and for the quality of the achieved control is
                 made.",
  keywords =     "genetic algorithms, genetic programming, synthesis of
                 control system, the method of variations of the basis
                 solutions",
}

Genetic Programming entries for S I Ibadulla E Yu Shmalko K K Daurenbekov

Citations