Evolutionary Synthesis of Rules for Stabilization of Evolutionary Selected Discrete Chaotic Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Senkerik:2012:mendel,
  author =       "Roman Senkerik and Zuzana Oplatkova and Ivan Zelinka",
  title =        "Evolutionary Synthesis of Rules for Stabilization of
                 Evolutionary Selected Discrete Chaotic Systems",
  booktitle =    "18th International Conference on Soft Computing,
                 MENDEL 2012",
  editor =       "Radomil Matousek",
  pages =        "150--156",
  year =         "2012",
  address =      "Brno, Czech Republic",
  edition =      "1st",
  month =        "27-29 " # jun,
  publisher =    "Brno University of Technology",
  keywords =     "genetic algorithms, genetic programming, analytic
                 programming",
  isbn13 =       "978-80-214-4540-6",
  URL =          "https://publikace.k.utb.cz/handle/10563/1004707?locale-attribute=en",
  size =         "7 pages",
  abstract =     "symbolic regression, which is analytic programming,
                 for the purpose of the synthesis of a new control laws.
                 These synthesized chaotic controllers secure the
                 stabilization of stable state of four selected discrete
                 chaotic system. The systems of interest were the
                 one-dimensional noninvertible map (Cubic map) and three
                 examples of two-dimensional dissipative maps (Lozi,
                 Burgers and Delayed Logistic map). The paper consists
                 of the descriptions of analytic programming as well as
                 chaotic systems, used heuristic and cost function. For
                 experimentation, Self-Organizing Migrating Algorithm
                 (SOMA) and Differential evolution (DE) were used.",
  notes =        "http://www.mendel-conference.org/",
}

Genetic Programming entries for Roman Senkerik Zuzana Oplatkova Ivan Zelinka

Citations