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Classification and learning using genetic algorithms : applications in bioinformatics and web intelligence

Author: Sanghamitra Bandyopadhyay; Sankar K Pal
Publisher: Berlin ; New York : Springer, ©2007.
Series: Natural computing series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-a-vis several widely used  Read more...
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Document Type: Book
All Authors / Contributors: Sanghamitra Bandyopadhyay; Sankar K Pal
ISBN: 9783540496069 3540496068
OCLC Number: 85842740
Description: xv, 311 pages : illustrations, maps ; 24 cm.
Contents: Introduction --
Genetic algorithms --
Supervised classification using genetic algorithms --
Theoretical analysis of the GA-classifier --
Variable string lengths in GA-classifier --
Chromosome differentiation in VGA-classifier --
Multiobjective VGA-classifier and quantitative indices --
Genetic algorithms in clustering --
Genetic learning bioinformatics --
Genetic algorithms and web intelligence.
Series Title: Natural computing series.
Responsibility: Sanghamitra Bandyopadhyay, Sankar K. Pal.

Abstract:

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. Coverage also demonstrates the effectiveness of the genetic  Read more...

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"This book tries to balance the mixture of theories, algorithms, and applications and is a good reference for people who want to solve a complex optimization problem for their field. ... Overall, Read more...

 
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