Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

by SanghamitraBandyopadhyay (Author), UjjwalMaulik (Author), Anirban Mukhopadhyay (Author)

Synopsis

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques - genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.

$76.69

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 281
Edition: 2011
Publisher: Springer
Published: 02 Sep 2011

ISBN 10: 3642166148
ISBN 13: 9783642166143