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Genetic and Evolutionary Computation

Genetic Programming Theory and Practice XV

Editors: BANZHAF, W., Olson, R., Tozier, B., Riolo, R. (Eds.)

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  • Provides papers describing cutting-edge work on the theory and applications of genetic programming (GP)
  • Offers large-scale, real-world applications (big data) of GP to a variety of problem domains, including commercial and scientific applications as well as bioinformatics problems
  • Explores controlled semantics, lexicase and other selection methods, crossover techniques, diversity analysis and understanding of convergence tendencies
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eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-90512-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-90511-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.99
price for USA in USD
  • ISBN 978-3-030-08031-0
  • 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: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. 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 (11 chapters)

Table of contents (11 chapters)
  • Exploiting Subprograms in Genetic Programming

    Pages 1-16

    Fine, Steven B. (et al.)

  • Schema Analysis in Tree-Based Genetic Programming

    Pages 17-37

    Burlacu, Bogdan (et al.)

  • Genetic Programming Symbolic Classification: A Study

    Pages 39-54

    Korns, Michael F.

  • Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System

    Pages 55-71

    Urbanowicz, Ryan J. (et al.)

  • Applying Ecological Principles to Genetic Programming

    Pages 73-88

    Dolson, Emily (et al.)

Buy this book

eBook $84.99
price for USA in USD (gross)
  • ISBN 978-3-319-90512-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.99
price for USA in USD
  • ISBN 978-3-319-90511-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.99
price for USA in USD
  • ISBN 978-3-030-08031-0
  • 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 XV
Editors
  • WOLFGANG BANZHAF
  • Randy Olson
  • Bill Tozier
  • Rick Riolo
Series Title
Genetic and Evolutionary Computation
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-90512-9
DOI
10.1007/978-3-319-90512-9
Hardcover ISBN
978-3-319-90511-2
Softcover ISBN
978-3-030-08031-0
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XV, 187
Number of Illustrations
8 b/w illustrations, 46 illustrations in colour
Topics