This book provides a unified framework that describes how genetic
learning can be used to design pattern recognition and learning systems.
It provides a balanced mixture of theories, algorithms and applications,
and in particular results from the bioinformatics and Web intelligence
domains. The book will be useful to graduate students and researchers in
computer science, electrical engineering, systems science, and
information technology, both as a text and reference book. Researchers
and practitioners in industry working in system design, control, pattern
recognition, data mining, soft computing, bioinformatics and Web
intelligence will also benefit.