Using Genetic Programming in Industrial Statistical Model Building

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Flor Castillo and Arthur Kordon and Jeff Sweeney and 
                 Wayne Zirk",
  title =        "Using Genetic Programming in Industrial Statistical
                 Model Building",
  booktitle =    "Genetic Programming Theory and Practice {II}",
  year =         "2004",
  editor =       "Una-May O'Reilly and Tina Yu and Rick L. Riolo and 
                 Bill Worzel",
  chapter =      "3",
  pages =        "31--48",
  address =      "Ann Arbor",
  month =        "13-15 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, statistical
                 model building, symbolic regression, undesigned data",
  ISBN =         "0-387-23253-2",
  DOI =          "doi:10.1007/0-387-23254-0_3",
  abstract =     "The chapter summarises the practical experience of
                 integrating genetic programming and statistical
                 modelling at The Dow Chemical Company. A unique
                 methodology for using Genetic Programming in
                 statistical modeling of designed and undesigned data is
                 described and illustrated with successful industrial
                 applications. As a result of the synergistic efforts,
                 the building technique has been improved and the model
                 development cost and time can be significantly reduced.
                 In case of designed data Genetic Programming reduced
                 costs by suggesting transformations as an alternative
                 to doing additional experimentation. In case of
                 undesigned data Genetic Programming was instrumental in
                 reducing the model building costs by providing
                 alternative models for consideration.",
  notes =        "part of \cite{oreilly:2004:GPTP2}",

Genetic Programming entries for Flor A Castillo Arthur K Kordon Jeff Sweeney Wayne Zirk