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Genetic Programming Theory and Practice XV

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Wolfgang Banzhaf

    1. BEACON Center for the Study of Evolution in Action and Department of Computer Science, Michigan State University, East Lansing, USA

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  2. Randal S. Olson

    1. Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, USA

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  3. William Tozier

    1. Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, USA

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  4. Rick Riolo

    1. Center for the Study of Complex Systems, University of Michigan, 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, 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

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

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Exploiting Subprograms in Genetic Programming

    • Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O’Reilly
    Pages 1-16

  3. Schema Analysis in Tree-Based Genetic Programming

    • Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan Winkler
    Pages 17-37

  4. Genetic Programming Symbolic Classification: A Study

    • Michael F. Korns
    Pages 39-54

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

    • Ryan J. Urbanowicz, Ben Yang, Jason H. Moore
    Pages 55-71

  6. Applying Ecological Principles to Genetic Programming

    • Emily Dolson, Wolfgang Banzhaf, Charles Ofria
    Pages 73-88

  7. Lexicase Selection with Weighted Shuffle

    • Sarah Anne Troise, Thomas Helmuth
    Pages 89-104

  8. Relaxations of Lexicase Parent Selection

    • Lee Spector, William La Cava, Saul Shanabrook, Thomas Helmuth, Edward Pantridge
    Pages 105-120

  9. A System for Accessible Artificial Intelligence

    • Randal S. Olson, Moshe Sipper, William La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu et al.
    Pages 121-134

  10. Genetic Programming Based on Error Decomposition: A Big Data Approach

    • Amirhessam Tahmassebi, Amir H. Gandomi
    Pages 135-147

  11. One-Class Classification of Low Volume DoS Attacks with Genetic Programming

    • Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O’Reilly
    Pages 149-168

  12. Evolution of Space-Partitioning Forest for Anomaly Detection

    • Zhiruo Zhao, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan
    Pages 169-184

  13. Back Matter

    Pages 185-187
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Keywords

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.

Editors and Affiliations

  • BEACON Center for the Study of Evolution in Action and Department of Computer Science, Michigan State University, East Lansing, USA

    Wolfgang Banzhaf

  • Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, USA

    Randal S. Olson, William Tozier

  • Center for the Study of Complex Systems, University of Michigan, Ann Arbor, USA

    Rick Riolo

Bibliographic Information

  • Book Title: Genetic Programming Theory and Practice XV

  • Editors: Wolfgang Banzhaf, Randal S. Olson, William Tozier, Rick Riolo

  • Series Title: Genetic and Evolutionary Computation

  • DOI: https://doi.org/10.1007/978-3-319-90512-9

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Hardcover ISBN: 978-3-319-90511-2Published: 06 July 2018

  • Softcover ISBN: 978-3-030-08031-0Published: 22 December 2018

  • eBook ISBN: 978-3-319-90512-9Published: 05 July 2018

  • Series ISSN: 1932-0167

  • Series E-ISSN: 1932-0175

  • Edition Number: 1

  • Number of Pages: XV, 187

  • Number of Illustrations: 8 b/w illustrations, 46 illustrations in colour

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

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