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  • © 2010

Genetic Programming Theory and Practice VII

  • Discusses the hurdles faced in solving large-scale, cutting-edge applications
  • Provides in depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems
  • Contributions by GP theorists from major universities and active practitioners from industry examine how GP theory informs practice and how GP practice impacts GP theory

Part of the book series: Genetic and Evolutionary Computation (GEVO)

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Table of contents (13 chapters)

  1. Front Matter

    Pages 1-13
  2. GPTP 2009: An Example of Evolvability

    • Una-May O’Reilly, Trent McConaghy, Rick Riolo
    Pages 1-18
  3. Evolving Coevolutionary Classifiers Under Large Attribute Spaces

    • John Doucette, Peter Lichodzijewski, Malcolm Heywood
    Pages 37-54
  4. Symbolic Regression Via Genetic Programming as a Discovery Engine: Insights on Outliers and Prototypes

    • Mark E. Kotanchek, Ekaterina Y. Vladislavleva, Guido F. Smits
    Pages 55-72
  5. Symbolic Regression of Implicit Equations

    • Michael Schmidt, Hod Lipson
    Pages 73-85
  6. Algorithmic Trading with Developmental and Linear Genetic Programming

    • Garnett Wilson, Wolfgang Banzhaf
    Pages 119-134
  7. High-Significance Averages of Event-Related Potential Via Genetic Programming

    • Luca Citi, Riccardo Poli, Caterina Cinel
    Pages 135-157
  8. Graph Structured Program Evolution: Evolution of Loop Structures

    • Shinichi Shirakawa, Tomoharu Nagao
    Pages 177-194
  9. Back Matter

    Pages 1-3

About this book

Genetic Programming Theory and Practice VII presents the results of the annual Genetic Programming Theory and Practice Workshop, contributed by the foremost international researchers and practitioners in the GP arena. Contributions examine the similarities and differences between theoretical and empirical results on real-world problems, and explore the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Application areas include chemical process control, circuit design, financial data mining and bio-informatics, to name a few.

About this book: Discusses the hurdles encountered when solving large-scale, cutting-edge applications, provides in-depth presentations of the latest and most significant applications of GP and the most recent theoretical results with direct applicability to state-of-the-art problems. Genetic Programming Theory and Practice VII is suitable for researchers, practitioners and students of Genetic Programming, including industry technical staffs, technical consultants and business entrepreneurs.

Editors and Affiliations

  • Center for the Study of Complex Systems, University of Michigan, Ann Arbor, U.S.A.

    Rick Riolo

  • Computer Science &, Massachusetts Institute of Technology, Cambridge, U.S.A.

    Una-May O'Reilly

  • Solido Design Automation, Inc., Saskatoon, Canada

    Trent McConaghy

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access