Using Genetic Programming in Industrial Statistical Model Building

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{castillo:2004:GPTP,

• 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

Citations