Classification and Learning Using Genetic Algorithms Applications in Bioinformatics and Web Intelligence /

• Main Authors: Bandyopadhyay, Sanghamitra (Author), Pal, Sankar K. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Natural Computing Series,
• Subjects: Computer science.; Computer programming.; Artificial intelligence.; Pattern recognition.; Bioinformatics.; Statistical physics.; Dynamical systems.; Electrical engineering.; Computer Science.; Pattern Recognition.; Programming Techniques.; Communications Engineering, Networks.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.; Computational Biology/Bioinformatics.

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...

Table of Contents:

• 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 in Bioinformatics
• Genetic Algorithms and Web Intelligence.