Genetic Programming Theory and Practice

  • Rick Riolo
  • Bill Worzel

Part of the Genetic Programming Series book series (GPEM, volume 6)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Bill Worzel, Rick Riolo
    Pages 1-10
  3. Joseph A. Driscoll, Bill Worzel, Duncan MacLean
    Pages 25-42
  4. Jason M. Daida
    Pages 99-118
  5. Justinian Rosca
    Pages 119-135
  6. Kumara Sastry, Una-May O’Reilly, David E. Goldberg, David Hill
    Pages 137-154
  7. Conor Ryan, Miguel Nicolau
    Pages 189-204
  8. Kumara Sastry, David E. Goldberg
    Pages 205-220
  9. Mark Kotanchek, Guido Smits, Arthur Kordon
    Pages 239-255
  10. Tina Yu, Dave Wilkinson, Deyi Xie
    Pages 271-289
  11. Anjun Zhou
    Pages 291-302

About this book

Introduction

Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.

Keywords

algorithms circuit design complex system evolutionary algorithm genetic programming learning machine learning programming

Editors and affiliations

  • Rick Riolo
    • 1
  • Bill Worzel
    • 2
  1. 1.Center for the Study of Complex SystemsUniversity of MichiganUSA
  2. 2.Genetics SquaredUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-8983-3
  • Copyright Information Kluwer Academic Publisher 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4747-7
  • Online ISBN 978-1-4419-8983-3
  • Series Print ISSN 1566-7863
  • About this book