Using Genetic Programming to Develop Inferential Estimation Algorithms

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

@InProceedings{mckay:1996:GPidea,
  author =       "Ben McKay and Mark Willis and Gary Montague and 
                 Geoffrey W. Barton",
  title =        "Using Genetic Programming to Develop Inferential
                 Estimation Algorithms",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and 
                 David B. Fogel and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "157--165",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  broken =       "http://lorien.ncl.ac.uk/sorg/paper2.ps",
  size =         "9 pages",
  abstract =     "Genetic Programming (GP) is used to develop
                 inferential estimation algorithms for two industrial
                 chemical processes. Within this context, dynamic
                 modelling procedures (as opposed to static or
                 steady-state modelling) are often required if accurate
                 inferential models are to be developed. Thus, a simple
                 procedure is suggested so that the GP technique may be
                 used for the development of dynamic process models.
                 Using measurements from a vacuum distillation column
                 and an industrial plasticating extrusion process, it is
                 then demonstrated how the GP methodology can be used to
                 develop reliable cost effective process models. A
                 statistical analysis procedure is used to aid in the
                 assessment of GP algorithm settings and to guide in the
                 selection of the final model structure.",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap19.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262611279",
  notes =        "GP-96, MSWord postscript not cmpatible with Unix",
}

Genetic Programming entries for Ben McKay Mark J Willis Gary A Montague Geoffrey W Barton

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