Application of Genetic Programming to the Choice of a Structure of Global Approximations

Created by W.Langdon from gp-bibliography.bib Revision:1.8638

@InProceedings{toropov:1998:GPcsga,

• author = "Vassili V. Toropov and Luis F. Alvarez",
• title = "Application of Genetic Programming to the Choice of a Structure of Global Approximations",
• booktitle = "Genetic Programming 1998: Proceedings of the Third Annual Conference",
• year = "1998",
• editor = "John R. Koza and Wolfgang Banzhaf and Kumar Chellapilla and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max H. Garzon and David E. Goldberg and Hitoshi Iba and Rick Riolo",
• pages = "387--390",
• address = "University of Wisconsin, Madison, Wisconsin, USA",
• publisher_address = "San Francisco, CA, USA",
• month = "22-25 " # jul,
• publisher = "Morgan Kaufmann",
• keywords = "genetic algorithms, genetic programming, truss bar approximations, C++ cpp, design of experiments, response surface methodology, nonlinear least squares surface fitting, symbolic regression",
• ISBN = "1-55860-548-7",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gp1998/toropov_1998_GPcsga.pdf",
• size = "4 pages",
• abstract = "Genetic Programming methodology is applied to the creation of the structure of global approximation functions used in the solution of design optimization problems. The approximations are obtained by the least-squares surface fitting (the response surface methodology). Attention is paid to the appropriate choice of the plan of experiments and to the model tuning using the nonlinear least-squares method. A test example is presented where the technique is applied to a simple truss optimization problem.",
• notes = "GP-98",

}

Genetic Programming entries for Vassili V Toropov Luis F Alvarez

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