Evolving Intelligent Systems Methodology and Applications

This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. There is a clear demand for a treatment of this topic in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. The book targets researchers, engineers, postgraduate students, and practitioners in advanced process industries, applied mathematicians, software developers of agent-oriented systems, and developers of embedded and real-time systems.

Plamen Angelov, PhD, is with the Department of communication Systems, Lancaster University. He is a member of the Fuzzy Systems Technical Committee, the founding Chair of the Adaptive Fuzzy Systems Task Force to the Computational Intelligence Society, and a Senior Member of IEEE. Dimitar P. Filev, PhD, is a Senior Technical Leader, Intelligent Control Information Systems, with Ford Research Advanced Engineering and a Fellow of IEEE. He is a Vice President for Cybernetics of the IEEE System, Man, and Cybernetics Society and past president of the North Americana Fuzzy Information Processing Society (NAFIPS). Nikola Kasabov is the Director of the Knowledge Engineering and Discovery Research Institute (KEDRI). He holds a Chair of Knowledge Engineering at the School of Computer and Information Sciences at Auckland University of Technology. He is a Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the New Zealand Computer Society, and the President of the International Neural Network Society (INNS)