Application Issues of Genetic Programming in Industry
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InCollection{kordon:2005:GPTP,
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author = "Arthur Kordon and Flor Castillo and Guido Smits and
Mark Kotanchek",
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title = "Application Issues of Genetic Programming in
Industry",
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booktitle = "Genetic Programming Theory and Practice {III}",
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year = "2005",
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editor = "Tina Yu and Rick L. Riolo and Bill Worzel",
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volume = "9",
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series = "Genetic Programming",
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chapter = "16",
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pages = "241--258",
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address = "Ann Arbor",
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month = "12-14 " # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, symbolic
regression, industrial applications, design of
experiments, real world problems, parameter selection",
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ISBN = "0-387-28110-X",
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DOI = "doi:10.1007/0-387-28111-8_16",
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size = "18 pages",
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abstract = "The chapter gives a systematic view, based on the
experience from The Dow Chemical Company, of the key
issues for applying symbolic regression with Genetic
Programming (GP) in industrial problems. The
competitive advantages of GP are defined and several
industrial problems appropriate for GP are recommended
and referenced with specific applications in the
chemical industry. A systematic method for selecting
the key GP parameters, based on statistical design of
experiments, is proposed. The most significant
technical and non-technical issues for delivering a
successful GP industrial application are discussed
briefly.",
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notes = "part of \cite{yu:2005:GPTP} Published Jan 2006 after
the workshop",
- }
Genetic Programming entries for
Arthur K Kordon
Flor A Castillo
Guido F Smits
Mark Kotanchek
Citations