Listening to Data: Tuning a Genetic Programming System

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

@InCollection{maclean:2004:GPTP,

• author = "Duncan MacLean and Eric A. Wollesen and Bill Worzel",
• title = "Listening to Data: Tuning a Genetic Programming System",
• 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 = "15",
• pages = "245--262",
• address = "Ann Arbor",
• month = "13-15 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, classifier, molecular biology, cancer, microarray, genetics",
• ISBN = "0-387-23253-2",
• DOI = "doi:10.1007/0-387-23254-0_15",
• abstract = "Genetic Programming (GP) may be used to model complex data but it must be tuned to get the best results. This process of tuning often gives insights into the data itself. This is discussed using examples from classification problems in molecular biology and the results and rules of thumb developed to tune the GP system are reviewed in light of current GP theory.",
• notes = "part of \cite{oreilly:2004:GPTP2}",

}

Genetic Programming entries for Duncan MacLean Eric A Wollesen William P Worzel

Citations