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Genetic and Evolutionary Computation

Genetic Programming Theory and Practice XI

Editors: Riolo, Rick, Moore, Jason H., Kotanchek, Mark (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
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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-0375-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-1-4939-0374-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-5563-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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 in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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.

Reviews

“This volume is a collection of 12 papers … authored by leading theorists and practitioners of GP, and submitted for the Genetic Programming Theory and Practice (GPTP) workshop held at the University of Michigan on May 9-11, 2013. This collection will interest GP researchers and practitioners with sufficient background in artificial intelligence, evolved analytics, and smart systems.” (Anoop Malaviya, Computing Reviews, December, 2015)


Table of contents (12 chapters)

  • Extreme Accuracy in Symbolic Regression

    Korns, Michael F.

    Pages 1-30

  • Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer’s Disease

    Moore, Jason H. (et al.)

    Pages 31-45

  • Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models

    Stijven, Sean (et al.)

    Pages 47-63

  • Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data

    Hodjat, Babak (et al.)

    Pages 65-83

  • Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution

    Ryan, Conor (et al.)

    Pages 85-100

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-0375-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-1-4939-0374-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-5563-3
  • 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 XI
Editors
  • Rick Riolo
  • Jason H. Moore
  • Mark Kotanchek
Series Title
Genetic and Evolutionary Computation
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-0375-7
DOI
10.1007/978-1-4939-0375-7
Hardcover ISBN
978-1-4939-0374-0
Softcover ISBN
978-1-4939-5563-3
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XIV, 227
Number of Illustrations
36 b/w illustrations, 32 illustrations in colour
Topics