Overview
This title provides a comprehensive introduction to grammatical evolution, an 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 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, this work outlines the 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 the subject and presents possible directions for future research.
Full Product Details
Author: Michael O'Neill ,
Conor Ryan
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2003 ed.
Volume: 4
Dimensions:
Width: 15.50cm
, Height: 1.10cm
, Length: 23.50cm
Weight: 0.910kg
ISBN: 9781402074448
ISBN 10: 1402074441
Pages: 144
Publication Date: 31 May 2003
Audience:
College/higher education
,
Professional and scholarly
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Awaiting stock
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.
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)
From the reviews: <p> 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 a ] . The book contains a good description of grammatical evolution a ] . a ~Grammatical Evolutiona (TM) 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)
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)
