Artificial Immune Systems: A New Computational Intelligence Approach

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Springer Science & Business Media, Sep 23, 2002 - Computers - 357 pages
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Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters.
Key features of the book include:
- A discussion of AIS in the context of Computational Intelligence;
- Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications;
- A framework to help the reader design and understand AIS;
- A web site with additional resources including pseudocodes for immune algorithms, and links to related sites.
Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.
 

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Provides an excellent review of the history, theory and application of the growing field of Artificial Immune Systems (AIS).

Contents

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IV
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XXXVII
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XXXVIII
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XXXIX
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About the author (2002)

Leandro Nunes de Castro (S'96 - M'01) received the B.Sc. degree in Electrical Engineering from the Federal University of Goias, Goibnia, Brazil, in 1996, and M.Sc. degree in Electrical Engineering and Ph.D. degree in Computer Engineering from the State University of Campinas, Campinas, Sco Paulo, Brazil, in 1998 and 2001, respectively. He was a Research Associate with the Computing Laboratory at the University of Kent, Canterbury, U.K. from 2001 to 2002, and a Visiting Lecturer at the School of Computer and Electrical Engineering at Unicamp. He is currently an assistant professor at the Catholic University of Santos in Brazil and a Research Fellow at Unicamp. He has broad interest in all natural computing approaches with particular emphasis on biologically inspired computing, including artificial immune systems, artificial neural networks, evolutionary algorithms, swarm intelligence, artificial life and DNA computing. He has given a number of tutorials about natural computing, and has published over fifty research papers on the subject. Dr. de Castro is a member of the IEEE Institute of Electrical and Electronics Engineers, INNS International Neural Network Society and the SBA Brazilian Automation Society. He has been a member of the program committee for a number of conferences and referee for several journals related to computational intelligence, such as the Soft Computing Journal, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Neural Networks, and IEEE Transactions on Systems, Man, and Cybernetics.

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