Co-evolutionary genetic optimization based ordinary differential equations identification for multi-input multi-output chaotic systems

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

@InProceedings{Shi-Liang:2012:CCC,
  author =       "Shi-Liang Zhou and Yu-Yan Liu",
  booktitle =    "31st Chinese Control Conference (CCC 2012)",
  title =        "Co-evolutionary genetic optimization based ordinary
                 differential equations identification for multi-input
                 multi-output chaotic systems",
  year =         "2012",
  pages =        "1745--1751",
  month =        "25-27 " # jul,
  address =      "Hefei, China",
  note =         "in chinese",
  URL =          "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6390207",
  isbn13 =       "978-1-4673-2581-3",
  size =         "7 pages",
  abstract =     "A Co-evolutionary algorithm based ordinary
                 differential equations of multi input multi output
                 continue chaos system identification is proposed.
                 Structures of ODEs are optimised using GP (Genetic
                 Programming), and corresponding parameters of ODEs are
                 tuning via GA. Fitness degrees of these individuals
                 which represent suitable structure of ODEs are high
                 than others, because their parameters are optimised by
                 GA. Both structures and corresponding parameters will
                 be evolved using the proposed coevolution GP-GA method.
                 Population initialisation, genetic operator, fitness
                 calculation and evolution scheme of multi-population GP
                 are given. Comparisons are made among the proposed
                 method, RBF neural network based method and fuzzy
                 clustering based method, simulation results show the
                 efficiency of the method.",
  keywords =     "genetic algorithms, genetic programming, MIMO systems,
                 chaos, differential equations, identification,
                 nonlinear systems, GP-GA method, ODE parameters,
                 coevolutionary algorithm, coevolutionary genetic
                 optimisation, evolution scheme, fitness calculation,
                 fitness degrees, genetic operator, multiple-input
                 multiple-output chaotic systems, multipopulation GP,
                 ordinary differential equation identification,
                 population initialization, system identification,
                 Chaos, Differential equations, Educational
                 institutions, Electronic mail, Power systems,
                 Co-evolutionary algorithm, chaotic system,
                 multi-population, ordinary differential equations",
  ISSN =         "1934-1768",
  notes =        "Also known as \cite{6390207}",
}

Genetic Programming entries for Shi-Liang Zhou Yu-Yan Liu

Citations