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

Features

• Cover Type: Hard Cover with 160 pages
• Published by: Springer
• Edition: 1st Edition May 1, 2003
• Written in: English
• ISBN 10 Number: 1402074441
• ISBN 13 Number: 978-1402074448
• Book Dimensions: 9 x 7 x 0.6 inches
• Weighs: 14.7 ounces

Product Review


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)

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.