Application Issues of Genetic Programming in Industry

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{kordon:2005:GPTP,

• author = "Arthur Kordon and Flor Castillo and Guido Smits and Mark Kotanchek",
• title = "Application Issues of Genetic Programming in Industry",
• booktitle = "Genetic Programming Theory and Practice {III}",
• year = "2005",
• editor = "Tina Yu and Rick L. Riolo and Bill Worzel",
• volume = "9",
• series = "Genetic Programming",
• chapter = "16",
• pages = "241--258",
• address = "Ann Arbor",
• month = "12-14 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, symbolic regression, industrial applications, design of experiments, real world problems, parameter selection",
• ISBN = "0-387-28110-X",
• DOI = "doi:10.1007/0-387-28111-8_16",
• size = "18 pages",
• 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.",
• 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