Genetic and Evolutionary Computation

Genetic Programming Theory and Practice XVI

Editors: BANZHAF, WOLFGANG, Spector, Lee, Sheneman, Leigh (Eds.)

Free Preview
  • 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 financial and insurance problems
  •  
  • Explores controlled semantics, lexicase and other selection methods, crossover techniques, diversity analysis and understanding of convergence tendencies
see more benefits

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-030-04735-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-030-04734-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes 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)
  • Exploring Genetic Programming Systems with MAP-Elites

    Dolson, Emily (et al.)

    Pages 1-16

  • The Evolutionary Buffet Method

    Hintze, Arend (et al.)

    Pages 17-36

  • Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial

    Kelly, Stephen (et al.)

    Pages 37-57

  • Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification

    Korns, Michael F. (et al.)

    Pages 59-84

  • Cluster Analysis of a Symbolic Regression Search Space

    Kronberger, Gabriel (et al.)

    Pages 85-102

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-030-04735-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-030-04734-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Genetic Programming Theory and Practice XVI
Editors
  • WOLFGANG BANZHAF
  • Lee Spector
  • Leigh Sheneman
Series Title
Genetic and Evolutionary Computation
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-04735-1
DOI
10.1007/978-3-030-04735-1
Hardcover ISBN
978-3-030-04734-4
Series ISSN
1932-0167
Edition Number
1
Number of Pages
XXI, 234
Number of Illustrations
18 b/w illustrations, 47 illustrations in colour
Topics