Genetic Programming Theory and Practice

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Proceedings{RioloWorzel:2003,
  editor =       "Rick L. Riolo and Bill Worzel",
  title =        "Genetic Programming Theory and Practice",
  publisher =    "Kluwer",
  address =      "Boston, MA, USA",
  year =         "2003",
  volume =       "6",
  series =       "Genetic Programming",
  note =         "Series Editor - John Koza",
  keywords =     "genetic algorithms, genetic programming, theory,
                 applications",
  ISBN =         "1-4020-7581-2",
  URL =          "http://www.wkap.nl/prod/b/1-4020-7581-2",
  URL =          "http://www.springer.com/computer/ai/book/978-1-4020-7581-0",
  DOI =          "doi:10.1007/978-1-4419-8983-3",
  abstract =     "Genetic Programming Theory and Practice explores the
                 emerging interaction between theory and practice in the
                 cutting-edge, machine learning method of Genetic
                 Programming (GP). The material contained in this
                 contributed volume was developed from a workshop at the
                 University of Michigan's Center for the Study of
                 Complex Systems where an international group of genetic
                 programming theorists and practitioners met to examine
                 how GP theory informs practice and how GP practice
                 impacts GP theory. The contributions cover the full
                 spectrum of this relationship and are written by
                 leading GP theorists from major universities, as well
                 as active practitioners from leading industries and
                 businesses. Chapters include such topics as John Koza's
                 development of human-competitive electronic circuit
                 designs; David Goldberg's application of 'competent GA'
                 methodology to GP; Jason Daida's discovery of a new set
                 of factors underlying the dynamics of GP starting from
                 applied research; and Stephen Freeland's essay on the
                 lessons of biology for GP and the potential impact of
                 GP on evolutionary theory.

                 The book also includes chapters on the dynamics of GP,
                 the selection of operators and population sizing,
                 specific applications such as stock selection in
                 emerging markets, predicting oil field production,
                 modeling chemical production processes, and developing
                 new diagnostics from genomic data.

                 Genetic Programming Theory and Practice is an excellent
                 reference for researchers working in evolutionary
                 algorithms and for practitioners seeking innovative
                 methods to solve difficult computing problems.",
}

Genetic Programming entries for Rick L Riolo William P Worzel

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