Genetic and Evolutionary Computation

Genetic Programming Theory and Practice VIII

Editors: Riolo, Rick, McConaghy, Trent, Vladislavleva, Ekaterina (Eds.)

  • Examines and assesses large-scale, real-world applications of Genetic Programming
  • Explores a variety of problem domains that respond to GP solutions
  • Written by the foremost international researchers and practitioners in the field
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eBook $119.00
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  • ISBN 978-1-4419-7747-2
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Hardcover $159.00
price for USA
  • ISBN 978-1-4419-7746-5
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Softcover $159.00
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  • ISBN 978-1-4614-2719-3
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About this book

The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They 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.

Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP, Abstract Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by Continuous Evolution, Symbolic Density Models, GP Transforms in Linear Regression Situations, Protein Interactions in a Computational Evolution System, Composition of Music and Financial Strategies via GP, and Evolutionary Art Using Summed Multi-Objective Ranks.

Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results in GP .

Reviews

From the reviews:

“The book consists of 14 papers and an introduction. The applications it considers clearly demonstrate the maturity of GP techniques, and their ability to efficiently address difficult problem instances. … A specialized audience of experts in genetic algorithms will find state-of-the-art applications and methodologies in this book. It will also be of interest to practitioners for the large number of applications discussed, and to advanced students and researchers for the numerous opportunities for investigation and thesis topics.” (Renato De Leone, ACM Computing Reviews, July, 2011)


Table of contents (14 chapters)

  • Finch: A System for Evolving Java (Bytecode)

    Orlov, Michael (et al.)

    Pages 1-16

  • Towards Practical Autoconstructive Evolution: Self-Evolution of Problem-Solving Genetic Programming Systems

    Spector, Lee

    Pages 17-33

  • The Rubik Cube and GP Temporal Sequence Learning: An Initial Study

    Lichodzijewski, Peter (et al.)

    Pages 35-54

  • Ensemble Classifiers: AdaBoost and Orthogonal Evolution of Teams

    Soule, Terence (et al.)

    Pages 55-69

  • Covariant Tarpeian Method for Bloat Control in Genetic Programming

    Poli, Riccardo

    Pages 71-89

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-1-4419-7747-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-1-4419-7746-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4614-2719-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Genetic Programming Theory and Practice VIII
Editors
  • Rick Riolo
  • Trent McConaghy
  • Ekaterina Vladislavleva
Series Title
Genetic and Evolutionary Computation
Series Volume
8
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4419-7747-2
DOI
10.1007/978-1-4419-7747-2
Hardcover ISBN
978-1-4419-7746-5
Softcover ISBN
978-1-4614-2719-3
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XXVIII, 248
Topics