Using Genetic Programming in Industrial Statistical Model Building
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{castillo:2004:GPTP,
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author = "Flor Castillo and Arthur Kordon and Jeff Sweeney and
Wayne Zirk",
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title = "Using Genetic Programming in Industrial Statistical
Model Building",
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booktitle = "Genetic Programming Theory and Practice {II}",
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year = "2004",
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editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
Bill Worzel",
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chapter = "3",
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pages = "31--48",
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address = "Ann Arbor",
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month = "13-15 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, statistical
model building, symbolic regression, undesigned data",
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ISBN = "0-387-23253-2",
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DOI = "doi:10.1007/0-387-23254-0_3",
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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.",
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notes = "part of \cite{oreilly:2004:GPTP2}",
- }
Genetic Programming entries for
Flor A Castillo
Arthur K Kordon
Jeff Sweeney
Wayne Zirk
Citations