Issues in Nonlinear Model Structure Identification Using Genetic Programming

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

  author =       "G. J. Gray and T. Weinbrenner and 
                 D. J. Murray-Smith and Y. Li and K. C. Sharman",
  title =        "Issues in Nonlinear Model Structure Identification
                 Using Genetic Programming",
  booktitle =    "Second International Conference on Genetic Algorithms
                 in Engineering Systems: Innovations and Applications,
  year =         "1997",
  editor =       "Ali Zalzala",
  pages =        "308--313",
  address =      "University of Strathclyde, Glasgow, UK",
  publisher_address = "Savoy Place, London WC2R 0BL, UK",
  month =        "1-4 " # sep,
  publisher =    "Institution of Electrical Engineers",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-85296-693-8",
  URL =          "",
  DOI =          "doi:10.1049/cp:19971198",
  size =         "6 page",
  abstract =     "Genetic programming (GP) is a powerful nonlinear
                 optimisation tool which can be applied to the
                 identification of the nonlinear structure of dynamic
                 systems. Several issues must be considered. The model
                 format must be defined and a simulation routine
                 integrated with the GP optimisation code to evaluate
                 each candidate model. Numerical parameters of the model
                 must be identified and the model's
                 {"}goodness-of-fit{"} must be quantified. The GP
                 algorithm must be configured for model identification
                 and optimised for computation time. Finally, general
                 nonlinear modelling issues such as experimental design
                 and model validation must be considered. All these
                 issues are addressed in this paper.",
  notes =        "GALESIA'97",

Genetic Programming entries for Gary J Gray Thomas Weinbrenner David James Murray-Smith Yun Li Kenneth C Sharman