Specific modification of a GPA-ES evolutionary system suitable for deterministic chaos regression

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@Article{Brandejsky:2013:CMA,
  author =       "Tomas Brandejsky",
  title =        "Specific modification of a GPA-ES evolutionary system
                 suitable for deterministic chaos regression",
  journal =      "Computer \& Mathematics with Applications",
  year =         "2013",
  volume =       "66",
  number =       "2",
  pages =        "106--112",
  note =         "Nostradamus 2012",
  ISSN =         "0898-1221",
  DOI =          "doi:10.1016/j.camwa.2013.01.011",
  URL =          "http://www.sciencedirect.com/science/article/pii/S089812211300028X",
  keywords =     "genetic algorithms, genetic programming, Evolutionary
                 strategy, Optimisation, Symbolic regression,
                 Deterministic chaos",
  abstract =     "The paper deals with symbolic regression of
                 deterministic chaos systems using a GPA-ES system. A
                 Lorenz attractor, Roessler attractor,
                 Rabinovich-Fabrikant equations and a van der Pol
                 oscillator are used as examples of deterministic chaos
                 systems to demonstrate significant differences in the
                 efficiency of the symbolic regression of systems
                 described by equations of similar complexity. Within
                 the paper, the source of this behaviour is identified
                 in presence of structures which are hard to be
                 discovered during the evolutionary process due to the
                 low probability of their occurrence in the initial
                 population and by the low chance to produce them by
                 standard evolutionary operators given by small
                 probability to form them in a single step and low
                 fitness function magnitudes of inter-steps when GPA
                 tries to form them in more steps. This low magnitude of
                 fitness function for particular solutions tends to
                 eliminate them, thus increasing the number of needed
                 evolutionary steps. As the solution of identified
                 problems, modification of terminals and related
                 crossover and mutation operators are suggested.",
}

Genetic Programming entries for Tomas Brandejsky

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