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

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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