Grammatical Evolution
Evolutionary Automatic Programming in an Arbitrary Language
Authors: O'Neill, Michael, Ryan, Conor
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- About this book
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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
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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)
- Table of contents (9 chapters)
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Introduction
Pages 1-4
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Survey Of Evolutionary Automatic Programming
Pages 5-21
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Lessons From Molecular Biology
Pages 23-32
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Grammatical Evolution
Pages 33-47
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Four Examples of Grammatical Evolution
Pages 49-62
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Grammatical Evolution
- Book Subtitle
- Evolutionary Automatic Programming in an Arbitrary Language
- Authors
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- Michael O'Neill
- Conor Ryan
- Series Title
- Genetic Programming
- Series Volume
- 4
- Copyright
- 2003
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4615-0447-4
- DOI
- 10.1007/978-1-4615-0447-4
- Hardcover ISBN
- 978-1-4020-7444-8
- Softcover ISBN
- 978-1-4613-5081-1
- Series ISSN
- 1566-7863
- Edition Number
- 1
- Number of Pages
- XVI, 144
- Topics
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