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Link to original content: https://doi.org/10.1007/978-3-030-39958-0
Genetic Programming Theory and Practice XVII | SpringerLink
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Genetic Programming Theory and Practice XVII

  • Book
  • © 2020

Overview

  • Provides contributions 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

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

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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.  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 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.



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Table of contents (19 chapters)

Editors and Affiliations

  • Computer Science and Engineering, John R. Koza Chair, Michigan State University, East Lansing, USA

    Wolfgang Banzhaf

  • BEACON Center, Michigan State University, East Lansing, USA

    Erik Goodman

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

    Leigh Sheneman

  • Depto Ingenieria en Electronic Electrica Tecnológico Nacional de México/ IT, Tijuana, Mexico

    Leonardo Trujillo

  • Evolution Enterprises, Ann Arbor, USA

    Bill Worzel

Bibliographic Information

  • Book Title: Genetic Programming Theory and Practice XVII

  • Editors: Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel

  • Series Title: Genetic and Evolutionary Computation

  • DOI: https://doi.org/10.1007/978-3-030-39958-0

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-39957-3Published: 08 May 2020

  • Softcover ISBN: 978-3-030-39960-3Published: 08 May 2021

  • eBook ISBN: 978-3-030-39958-0Published: 07 May 2020

  • Series ISSN: 1932-0167

  • Series E-ISSN: 1932-0175

  • Edition Number: 1

  • Number of Pages: XXVI, 409

  • Number of Illustrations: 30 b/w illustrations, 112 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Algorithm Analysis and Problem Complexity

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