Identification of Nonlinear Discrete Systems Based Enhanced Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

@Article{Maher:2017:ijmcs,
  author =       "Rami A. Maher and Mohammad J. Mohammad",
  title =        "Identification of Nonlinear Discrete Systems Based
                 Enhanced Genetic Programming",
  journal =      "International Journal of Mathematics and Computers in
                 Simulation",
  year =         "2017",
  volume =       "11",
  pages =        "204--210",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1998-0159",
  URL =          "http://www.naun.org/cms.action?id=2826",
  URL =          "http://www.naun.org/cms.action?id=15242",
  URL =          "http://www.naun.org/main/NAUN/mcs/2017/a582002-010.pdf",
  size =         "7 pages",
  abstract =     "This paper introduces the application of the genetic
                 programming to solve the identification problems of
                 nonlinear discrete dynamic systems. The standard GP is
                 enhanced first to be of a Multi basis function
                 structure and then by a general parameter optimization
                 technique to include one of four proposed techniques.
                 The efficiency of finding the numeric constant node is
                 significantly improved as compared to the traditional
                 methods. The simulation procedure includes first a
                 comparison between the enhanced GP by one of the
                 parameter optimization techniques and the standard GP.
                 Then after for six different models, a comparison
                 between the four techniques is performed. The
                 comparison is made in terms of the number of runs
                 require to find the perfect model, and the average
                 number of generations for successful runs. Finally, a
                 complicated nonlinear discrete is selected to show the
                 powerful of the proposed algorithm.",
  notes =        "Rami A. Maher is with the Isra University, Amman,
                 Jordan, while Mohammad J. Mohammad is with the
                 University Of Tech Baghdad Iraq",
}

Genetic Programming entries for Rami A Maher Mohammad J Mohammad

Citations