Listening to Data: Tuning a Genetic Programming System

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Duncan MacLean and Eric A. Wollesen and Bill Worzel",
  title =        "Listening to Data: Tuning a Genetic Programming
  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