Issues in Nonlinear Model Structure Identification Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{gray:1997:,
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author = "G. J. Gray and T. Weinbrenner and
D. J. Murray-Smith and Y. Li and K. C. Sharman",
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title = "Issues in Nonlinear Model Structure Identification
Using Genetic Programming",
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booktitle = "Second International Conference on Genetic Algorithms
in Engineering Systems: Innovations and Applications,
GALESIA",
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year = "1997",
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editor = "Ali Zalzala",
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pages = "308--313",
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address = "University of Strathclyde, Glasgow, UK",
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publisher_address = "Savoy Place, London WC2R 0BL, UK",
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month = "1-4 " # sep,
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publisher = "Institution of Electrical Engineers",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-85296-693-8",
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URL = "http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000308000001&idtype=cvips&prog=normal",
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DOI = "doi:10.1049/cp:19971198",
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size = "6 page",
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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.",
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notes = "GALESIA'97",
- }
Genetic Programming entries for
Gary J Gray
Thomas Weinbrenner
David James Murray-Smith
Yun Li
Kenneth C Sharman
Citations