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Genetic Programming Theory and Practice III

  • Book
  • © 2006

Overview

Editors:
  1. Tina Yu

    1. Chevron Information Technology Company, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Rick Riolo

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Bill Worzel

    1. Genetics Squared, Inc., USA

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    You can also search for this editor in PubMed   Google Scholar

  • Provides researchers and industry professionals with the most recent developments in Genetic Programming theory and practice
  • Contributions by GP theorists from major universities and active practitioners from industries examine how GP theory informs practice and how GP practice impacts GP theory
  • Applications include chemical process control, informatics, and circuit design, to name a few
  • Includes supplementary material: sn.pub/extras

Part of the book series: Genetic Programming (GPEM, volume 9)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Genetic Programming: Theory and Practice

    • Tina Yu, Rick Riolo, Bill Worzel
    Pages 1-14

  3. Evolving Swarming Agents in Real Time

    • H. Van Dyke Parunak
    Pages 15-32

  4. Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming

    • Lee W. Jones, Sameer H. Al-Sakran, John R. Koza
    Pages 33-48

  5. Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming

    • Frank D. Francone, Larry M. Deschaine, Tom Battenhouse, Jeffrey J. Warren
    Pages 49-64

  6. Rapid Re-Evolution of an X-Band Antenna for Nasa’s Space Technology 5 Mission

    • Jason D. Lohn, Gregory S. Hornby, Derek S. Linden
    Pages 65-78

  7. Variable Selection in Industrial Datasets Using Pareto Genetic Programming

    • Guido Smits, Arthur Kordon, Katherine Vladislavleva, Elsa Jordaan, Mark Kotanchek
    Pages 79-92

  8. A Higher-Order Function Approach to Evolve Recursive Programs

    • Tina Yu
    Pages 93-108

  9. Trivial Geography in Genetic Programming

    • Lee Spector, Jon Klein
    Pages 109-123

  10. Running Genetic Programming Backwards

    • Riccardo Poli, William B. Langdon
    Pages 125-140

  11. An Examination of Simultaneous Evolution of Grammars and Solutions

    • R. Muhammad Atif Azad, Conor Ryan
    Pages 141-158

  12. The Importance of Local Search

    • Tuan Hao Hoang, Xuan Nguyen, R I McKay, Daryl Essam
    Pages 159-175

  13. Content Diversity in Genetic Programming and Its Correlation with Fitness

    • A. Almal, W. P. Worzel, E. A. Wollesen, C. D. MacLean
    Pages 177-190

  14. Genetic Programming Inside a Cell

    • Christian Jacob, Ian Burleigh
    Pages 191-206

  15. Evolution on Neutral Networks in Genetic Programming

    • Wolfgang Banzhaf, Andre Leier
    Pages 207-221

  16. The Effects of Size and Depth Limits on Tree Based Genetic Programming

    • Ellery Fussell Crane, Nicholas Freitag McPhee
    Pages 223-240

  17. Application Issues of Genetic Programming in Industry

    • Arthur Kordon, Flor Castillo, Guido Smits, Mark Kotanchek
    Pages 241-258

  18. Challenges in Open-Ended Problem Solving with Genetic Programming

    • Jason M. Daida
    Pages 259-274

  19. Domain Specificity of Genetic Programming Based Automated Synthesis: A Case Study with Synthesis of Mechanical Vibration Absorbers

    • Jianjun Hus, Ronald C. Rosenberg, Erik D. Goodman
    Pages 275-290

  20. Genetic Programming in Industrial Analog CAD: Applications and Challenges

    • Trent McConaghy, Georges Gielen
    Pages 291-306
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Keywords

About this book

Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan's Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.

Editors and Affiliations

  • Chevron Information Technology Company, USA

    Tina Yu

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

    Rick Riolo

  • Genetics Squared, Inc., USA

    Bill Worzel

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