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Genetic Programming Theory and Practice XVIII

  • Book
  • © 2022

Overview

Editors:
  1. Wolfgang Banzhaf

    1. Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

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  2. Leonardo Trujillo

    1. Tecnológico Nacional de México/IT de Tijuana, Tijuana, Mexico

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  3. Stephan Winkler

    1. School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg, Austria

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  4. Bill Worzel

    1. Evolution Enterprise, Ann Arbor, USA

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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
  • Presents theoretical exploration of exploration, lexicase, and other selection

Part of the book series: Genetic and Evolutionary Computation (GEVO)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs

    • Caleidgh Bayer, Ryan Amaral, Robert J. Smith, Alexandru Ianta, Malcolm I. Heywood
    Pages 1-19

  3. Grammar-Based Vectorial Genetic Programming for Symbolic Regression

    • Philipp Fleck, Stephan Winkler, Michael Kommenda, Michael Affenzeller
    Pages 21-43

  4. Grammatical Evolution Mapping for Semantically-Constrained Genetic Programming

    • Alcides Fonseca, Paulo Santos, Guilherme Espada, Sara Silva
    Pages 45-62

  5. What Can Phylogenetic Metrics Tell us About Useful Diversity in Evolutionary Algorithms?

    • Jose Guadalupe Hernandez, Alexander Lalejini, Emily Dolson
    Pages 63-82

  6. An Exploration of Exploration: Measuring the Ability of Lexicase Selection to Find Obscure Pathways to Optimality

    • Jose Guadalupe Hernandez, Alexander Lalejini, Charles Ofria
    Pages 83-107

  7. Feature Discovery with Deep Learning Algebra Networks

    • Michael F. Korns
    Pages 109-127

  8. Back to the Future—Revisiting OrdinalGP and Trustable Models After a Decade

    • Mark Kotanchek, Nathan Haut
    Pages 129-142

  9. Fitness First

    • W. B. Langdon
    Pages 143-164

  10. Designing Multiple ANNs with Evolutionary Development: Activity Dependence

    • Julian Francis Miller
    Pages 165-180

  11. Evolving and Analyzing Modularity with GLEAM (Genetic Learning by Extraction and Absorption of Modules)

    • Anil Kumar Saini, Lee Spector
    Pages 181-195

  12. Evolution of the Semiconductor Industry, and the Start of X Law

    • Andrew N. Sloss
    Pages 197-209

  13. Back Matter

    Pages 211-212
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Keywords

About this book

This book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.  In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book 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.

Editors and Affiliations

  • Department of Computer Science and Engineering, Michigan State University, East Lansing, USA

    Wolfgang Banzhaf

  • Tecnológico Nacional de México/IT de Tijuana, Tijuana, Mexico

    Leonardo Trujillo

  • School of Informatics, Communications and Media, University of Applied Sciences Upper Austria, Hagenberg, Austria

    Stephan Winkler

  • Evolution Enterprise, Ann Arbor, USA

    Bill Worzel

About the editors

Wolfgang Banzhaf is a professor in the Department of Computer Science and Engineering at Michigan State University.



Bibliographic Information

  • Book Title: Genetic Programming Theory and Practice XVIII

  • Editors: Wolfgang Banzhaf, Leonardo Trujillo, Stephan Winkler, Bill Worzel

  • Series Title: Genetic and Evolutionary Computation

  • DOI: https://doi.org/10.1007/978-981-16-8113-4

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-8112-7Published: 12 February 2022

  • Softcover ISBN: 978-981-16-8115-8Published: 14 February 2023

  • eBook ISBN: 978-981-16-8113-4Published: 11 February 2022

  • Series ISSN: 1932-0167

  • Series E-ISSN: 1932-0175

  • Edition Number: 1

  • Number of Pages: XIV, 212

  • Number of Illustrations: 12 b/w illustrations, 62 illustrations in colour

  • Topics: Theory of Computation, Biomedical Engineering and Bioengineering, Algorithms

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