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Grammatical Evolution

Evolutionary Automatic Programming in an Arbitrary Language

  • Book
  • © 2003

Overview

Authors:
  1. Michael O’Neill

    1. University of Limerick, Ireland

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  2. Conor Ryan

    1. University of Limerick, Ireland

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Genetic Programming (GPEM, volume 4)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Introduction

    • Michael O’Neil, Conor Ryan
    Pages 1-4

  3. Survey Of Evolutionary Automatic Programming

    • Michael O’Neil, Conor Ryan
    Pages 5-21

  4. Lessons From Molecular Biology

    • Michael O’Neil, Conor Ryan
    Pages 23-32

  5. Grammatical Evolution

    • Michael O’Neil, Conor Ryan
    Pages 33-47

  6. Four Examples of Grammatical Evolution

    • Michael O’Neil, Conor Ryan
    Pages 49-62

  7. Analysis of Grammatical Evolution

    • Michael O’Neil, Conor Ryan
    Pages 63-77

  8. Crossover in Grammatical Evolution

    • Michael O’Neil, Conor Ryan
    Pages 79-98

  9. Extensions & Applications

    • Michael O’Neil, Conor Ryan
    Pages 99-128

  10. Conclusions & Future Work

    • Michael O’Neil, Conor Ryan
    Pages 129-132

  11. Back Matter

    Pages 133-144
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Keywords

About this book

Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.

Reviews

From the reviews:

"This is the first book written on grammatical evolution, a new technique that is receiving increasing attention and use. Therefore, the book fulfills an important role … . The book contains a good description of grammatical evolution … . ‘Grammatical Evolution’ should be useful for specialists and Ph.D. students in the field of grammatical evolution and genetic programming, and people working in artificial intelligence and genetic algorithms in general. We would advise it as a good resource for university libraries." (Manuel Alfonseca and Alfonso Ortega, Genetic programming and Evolvable Machines, Vol. 5, 2004)

Authors and Affiliations

  • University of Limerick, Ireland

    Michael O’Neill, Conor Ryan

Bibliographic Information

  • Book Title: Grammatical Evolution

  • Book Subtitle: Evolutionary Automatic Programming in an Arbitrary Language

  • Authors: Michael O’Neill, Conor Ryan

  • Series Title: Genetic Programming

  • DOI: https://doi.org/10.1007/978-1-4615-0447-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2003

  • Hardcover ISBN: 978-1-4020-7444-8Published: 31 May 2003

  • Softcover ISBN: 978-1-4613-5081-1Published: 30 October 2012

  • eBook ISBN: 978-1-4615-0447-4Published: 06 December 2012

  • Series ISSN: 1566-7863

  • Edition Number: 1

  • Number of Pages: XVI, 144

  • Topics: Artificial Intelligence, Theory of Computation, Computer Science, general

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