Issues in Nonlinear Model Structure Identification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{gray:1997:,

• 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, GALESIA",
• 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 = "http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000308000001&idtype=cvips&prog=normal",
• 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

Citations