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Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language (Genetic Programming)

Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language (Genetic Programming)Authors: Michael O'Neill, Conor Ryan
Publisher: Springer
Category: Book

List Price: $179.00
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Sales Rank: 1,681,456

Media: Hardcover
Edition: 1
Pages: 160
Number Of Items: 1
Shipping Weight (lbs): 0.9
Dimensions (in): 9 x 7 x 0.6

ISBN: 1402074441
Dewey Decimal Number: 005.1
EAN: 9781402074448
ASIN: 1402074441

Publication Date: May 1, 2003
Availability: Usually ships in 1-2 business days

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Product Description
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.

Beginning with an overview of the necessary background material in Genetic Programming and Molecular Biology, Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language outlines the current state of the art in grammatical and genotype-phenotype-based approaches. Following a description of Grammatical Evolution and its application to a number of example problems, an in-depth analysis of the approach is conducted, focusing on areas such as the degenerate genetic code, wrapping, and crossover. The book continues with a description of hot topics in Grammatical Evolution and presents possible directions for future research.


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