Ebook: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language

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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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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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.
Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-4
Survey Of Evolutionary Automatic Programming....Pages 5-21
Lessons From Molecular Biology....Pages 23-32
Grammatical Evolution....Pages 33-47
Four Examples of Grammatical Evolution....Pages 49-62
Analysis of Grammatical Evolution....Pages 63-77
Crossover in Grammatical Evolution....Pages 79-98
Extensions & Applications....Pages 99-128
Conclusions & Future Work....Pages 129-132
Back Matter....Pages 133-144

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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.
Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-4
Survey Of Evolutionary Automatic Programming....Pages 5-21
Lessons From Molecular Biology....Pages 23-32
Grammatical Evolution....Pages 33-47
Four Examples of Grammatical Evolution....Pages 49-62
Analysis of Grammatical Evolution....Pages 63-77
Crossover in Grammatical Evolution....Pages 79-98
Extensions & Applications....Pages 99-128
Conclusions & Future Work....Pages 129-132
Back Matter....Pages 133-144
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