Grammatical Evolution
Subtitle: Evolutionary Automatic Programming in an Arbitrary Language
By: by Michael O'Neill, Conor Ryan
Contributors: Ryan, Conor
Series: Genetic Programming Series -- 4; Genetic programming series -- 4.
Publisher: Springer US
Published: 2003
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 143
ISBN-13: 9781461350811; 9781461504474
Subjects: Information theory; Computer science; Artificial intelligence
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.
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