Evolving Structure-Optimising Content

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{whigham:2001:esc,
  author =       "P. A. Whigham and J. Keukelaar",
  title =        "Evolving Structure-Optimising Content",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "1228--1235",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammar",
  ISBN =         "0-7803-6658-1",
  URL =          "http://divcom.otago.ac.nz/sirc/Peterw/Publications/cec2001.pdf",
  DOI =          "doi:10.1109/CEC.2001.934331",
  abstract =     "This paper describes the initial results of a new form
                 of evolutionary system specifically designed for time
                 series modelling. The system combines a grammatically
                 based Genetic Programming system with various
                 optimisation techniques. The system uses the
                 evolutionary system to construct the structure of
                 equations and optimisation techniques to essentially
                 fill in the details. Three forms of optimisation are
                 described: optimisation of constants in an equation;
                 the optimisation of both the constants and variables in
                 an equation; and the use of a hill climbing mutation to
                 further tune the evolved and optimised equations.
                 Preliminary results indicate that this combination of
                 techniques produces significant improvements in
                 convergence based on the training data, and produces
                 equivalent generalisation on unseen data, for a given
                 number of population member evaluations.",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number = .

                 TSOGP hybrid context-free grammar GP with... Powell,
                 simplex. variable arity tree nodes. Evaluation tree
                 speedup via terminal links. Lake Kasumigaura (Japan)
                 water quality.",
}

Genetic Programming entries for Peter Alexander Whigham Johannes H D Keukelaar

Citations