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Genetic and Evolutionary Computation

Genetic Programming Theory and Practice IV

Editors: Riolo, Rick, Soule, Terence, Worzel, Bill (Eds.)

  • Discusses the challenges involved in solving large-scale, cutting edge applications
  • Describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control
  • Explores evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers
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  • ISBN 978-0-387-49650-4
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  • Included format: PDF
  • ebooks can be used on all reading devices
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  • ISBN 978-0-387-33375-5
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  • ISBN 978-1-4419-4123-7
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About this book

Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

This valuable reference discusses the hurdles faced in solving large-scale, cutting edge applications, describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control, and investigates evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers.

Genetic Programming Theory and Practice IV represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

Reviews

From the reviews:

"Every cutting-edge researcher, in every computational discipline, working on any real-world application, should make it a point to keep abreast of the ongoing progress of genetic programming theory and practice, which is currently available in this book. … a great win-win synergy opportunity here for less-cutting-edge researchers to try these maturing tools on more intuitive data masses; they should be more able to appreciate the results, and the genetic programming cryptography community might then learn something new about how to interpret post-scientific results." (Chaim Scheff, ACM Computing Reviews, Vol. 49 (8), August, 2008)


Table of contents (3 chapters)

  • Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations

    Michael D. Schmidt, Hod Lipson

    Pages 113-130

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  • Applying Genetic Programming to Reservoir History Matching Problem

    Tina Yu, Dave Wilkinson, Alexandre Castellini

    Pages 187-201

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  • Stock Selection: An Innovative Application of Genetic Programming Methodology

    Ying L. Becker, Peng Fei, Anna M. Lester

    Pages 315-334

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Buy this book

eBook n/a
  • ISBN 978-0-387-49650-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-0-387-33375-5
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-1-4419-4123-7
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Genetic Programming Theory and Practice IV
Editors
  • Rick Riolo
  • Terence Soule
  • Bill Worzel
Series Title
Genetic and Evolutionary Computation
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-49650-4
DOI
10.1007/978-0-387-49650-4
Hardcover ISBN
978-0-387-33375-5
Softcover ISBN
978-1-4419-4123-7
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XVI, 338
Number of Illustrations and Tables
200 b/w illustrations
Topics