The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior

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@Article{Aleksandrov:2013:JCSSI,
  author =       "A. V. Aleksandrov and S. V. Kazakov and 
                 A. A. Sergushichev and F. N. Tsarev and A. A. Shalyto",
  title =        "The use of evolutionary programming based on training
                 examples for the generation of finite state machines
                 for controlling objects with complex behavior",
  journal =      "Journal of Computer and Systems Sciences
                 International",
  year =         "2013",
  volume =       "52",
  number =       "3",
  pages =        "410--425",
  month =        may,
  publisher =    "SP MAIK Nauka/Interperiodica",
  language =     "English",
  keywords =     "genetic algorithms, genetic programming, FSM",
  ISSN =         "1064-2307",
  DOI =          "doi:10.1134/S1064230713020020",
  size =         "16 pages",
  abstract =     "It is proposed to use evolutionary programming to
                 generate finite state machines (FSMs) for controlling
                 objects with complex behaviour. The well-know approach
                 in which the FSM performance is evaluated by
                 simulation, which is typically time consuming, is
                 replaced with comparison of the object's behaviour
                 controlled by the FSM with the behaviour of this object
                 controlled by a human. A feature of the proposed
                 approach is that it makes it possible to deal with
                 objects that have not only discrete but also continuous
                 parameters. The use of this approach is illustrated by
                 designing an FSM controlling a model aircraft executing
                 a loop-the-loop manoeuvre.",
  notes =        "

                 Original Russian Text A.V. Aleksandrov, S.V. Kazakov,
                 A.A. Sergushichev, F.N. Tsarev, A.A. Shalyto, 2013,
                 published in Izvestiya Akademii Nauk. Teoriya i Sistemy
                 Upravleniya, 2013, No. 3, pp. 85-100. Translated by A.
                 Klimontovich",
}

Genetic Programming entries for A V Aleksandrov Sergey V Kazakov A A Sergushichev Fedor Tsarev Anatoly Abramovich Shalyto

Citations