Genetic and Evolutionary Computation

Genetic Programming Theory and Practice IX

Editors: Riolo, Rick, Vladislavleva, Ekaterina, Moore, Jason H. (Eds.)

  • Describes cutting-edge work on genetic programming (GP) theory, applications of GP, and how theory can be used to guide application of GP Demonstrates large-scale applications of GP to a variety of problem domains
  • Reveals an inspiring synergy between GP applications and the latest in theoretical results for state-of –the-art problem solving
  • Addresses symbolic regression as a mode of genetic programming
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About this book

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge; In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. 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.

Table of contents (13 chapters)

  • What’s in an Evolved Name? The Evolution of Modularity via Tag-Based Reference

    Spector, Lee (et al.)

    Pages 1-16

  • Let the Games Evolve!

    Sipper, Moshe

    Pages 17-36

  • Novelty Search and the Problem with Objectives

    Lehman, Joel (et al.)

    Pages 37-56

  • A Fine-Grained View of Phenotypes and Locality in Genetic Programming

    McDermott, James (et al.)

    Pages 57-76

  • Evolution of an Effective Brain-Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control

    Poli, Riccardo (et al.)

    Pages 77-95

Buy this book

eBook $89.00
price for USA
  • ISBN 978-1-4614-1770-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $119.00
price for USA
  • ISBN 978-1-4614-1769-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA
  • ISBN 978-1-4614-2941-8
  • 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 IX
Editors
  • Rick Riolo
  • Ekaterina Vladislavleva
  • Jason H. Moore
Series Title
Genetic and Evolutionary Computation
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-1770-5
DOI
10.1007/978-1-4614-1770-5
Hardcover ISBN
978-1-4614-1769-9
Softcover ISBN
978-1-4614-2941-8
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XXVIII, 264
Topics