Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language / Edition 1

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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. 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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Editorial Reviews

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"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)

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Product Details

  • ISBN-13: 9781402074448
  • Publisher: Springer US
  • Publication date: 5/31/2003
  • Series: Genetic Programming Series , #4
  • Edition description: 2003
  • Edition number: 1
  • Pages: 160
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.44 (d)

Table of Contents

1 Introduction 1
2 Survey of Evolutionary Automatic Programming 5
3 Lessons from Molecular Biology 23
4 Grammatical Evolution 33
5 Four Examples of Grammatical Evolution 49
6 Analysis of Grammatical Evolution 63
7 Crossover in Grammatical Evolution 79
8 Extensions & Applications 99
9 Conclusions & Future Work 129
Index 143
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