Introduction to Evolutionary Computing / Edition 1

Introduction to Evolutionary Computing / Edition 1

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by A.E. Eiben, J.E. Smith, A. E. Eiben
     
 

In what is a hugely exciting and fast developing field, here is the first complete overview, covering all algorithm variants. It contains easily accessed reference information on the current state-of-the-art in a wide range of related topics, too.

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Overview

In what is a hugely exciting and fast developing field, here is the first complete overview, covering all algorithm variants. It contains easily accessed reference information on the current state-of-the-art in a wide range of related topics, too.

Product Details

ISBN-13:
9783540401841
Publisher:
Springer Berlin Heidelberg
Publication date:
10/07/2008
Series:
Natural Computing Series
Edition description:
1st ed. 2003. Corr. 2nd printing 2007
Pages:
300
Sales rank:
655,424
Product dimensions:
0.75(w) x 9.21(h) x 6.14(d)

Table of Contents

1 Introduction.- 2 What is an Evolutionary Algorithm?.- 3 Genetic Algorithms.- 4 Evolution Strategies.- 5 Evolutionary Programming.- 6 Genetic Programming.- 7 Learning Classifier Systems.- 8 Parameter Control in Evolutionary Algorithms.- 9 Multimodal Problems and Spatial Distribution.- 10 Hybridisation with Other Techniques: Memetic Algorithms.- 11 Theory.- 12 Constraint Handling.- 13 Special Forms of Evolution.- 14 Working with Evolutionary Algorithms.- 15 Summary.- A Gray Coding.- B Test Functions.- References.

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