Intelligent systems are rapidly becoming a central focus of study for researchers as they have the ability to learn and adapt during their existence in order to achieve certain goals and objectives.

Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications presents methodologies, architectures, and approaches on experiential automated learning. This critical mass of sought after research assembles the most intriguing and innovative applications, advancements, and leading studies on the methodology of intellectual computing.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Adaptive and evolutionary systems
Ant colony programming
Computational intelligence algorithms
Dynamic manufacturing scheduling
Evolutionary prototype selection
Face Recognition
Genetic Algorithms
Multi-objective filter design problem
Neuro-fuzzy network
Nonlinear sensor characteristic linearization
Novelty detection
Particle Swarm Optimization
Reconfigurable hardware
Social Networks
Synthesis of analog circuits

Reviews & Statements

The large number of topics treated in this book related to intelligent adaptive systems and its recent appearance makes it very interesting for a wide range of professional profiles. Within the scientific and research community, this book can be useful relevant contribution for the comprehension of computational intelligence and some of its related fields, such as multi-agent systems, machine learning, pattern recognition, optimisation, knowledge-based systems, natural computing, etc., as it includes novel theoretical researches. Nonetheless, the use of this book may be extended outside the scientific field because it appears practical references that may be interesting to developers and engineers seeking new techniques and ideas, based on intelligent systems, to solve real performance and system efficiency optimisation problems. Finally, the book successfully presents a useful miscellany of tools, techniques and methods within the domain of intelligent systems. Among the book's nice features are the well-organised chapters that touch on a panoply of research-related topics.

– Israel González-Carrasco, Ricardo Colomo-Palacios and José Luis López-Cuadrado, International Journal of Information and Decision Sciences Volume 2, Issue 4, 2010

This book covers the state-of-the-art plus latest research discoveries and applications of intelligent adaptive systems, thus making it a valuable reference for a large community of audiences.

– Raymond Chiong, Swinburne University of Technology, Malaysia

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Editor/Author Biographies

Raymond Chiong is a tenured academic at the School of Computing & Design, Swinburne University of Technology (Sarawak Campus, Malaysia). He is leading the Intelligent Informatics Research Group under the Information & Security Research Lab (iSECURES Lab). He serves as an associate editor for the Interdisciplinary Journal of Information, Knowledge, and Management (IJIKM), and reviews for IEEE Transactions on Evolutionary Computation and Springer’s Memetic Computing. He also serves in the IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), IASTED Technical Committee on Artificial Intelligence, as well as IASTED Technical Committee on Modelling and Simulation. His main research interests include nature-inspired computing and its application to complex systems. He has numerous publications in books, international journals and conference proceedings, and is currently involved with four edited books.

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Editorial Advisory Board

TENTATIVE

Editorial Advisory Board

Peter J Bentley, University College London, UK

Bob McKay, Seoul National University, Korea

Asoke K Nandi, University of Liverpool, UK

Antonio J Nebro, University of Málaga, Spain

Ralf Salomon, University of Rostock, Germany

Lee Seldon, Swinburne University of Technology (Sarawak Campus), Malaysia

Dennis Wong, Swinburne University of Technology (Sarawak Campus), Malaysia

Clinton Woodward, Swinburne University of Technology, Australia

List of Reviewers

Arturo Hernandez Aguirre, Centro de Investigación en Matemáticas (CIMAT), Mexico

José Ramón Cano de Amo, University of Granada, Spain

Mariusz Boryczka, University of Silesia, Poland

Urszula Boryczka, University of Silesia, Poland

Bülent Çatay, Sabanci University, Turkey

Eugene Ch’ng, University of Wolverhampton, UK

André L V Coelho, University of Fortaleza, Brazil

Oscar Cordon, European Centre for Soft Computing, Spain

Francisco Herrera, University of Granada, Spain

Christian Jacob, University of Calgary, Canada

Salvador Garcia Lopez, University of Granada, Spain

Rodrigo F de Mello, University of São Paulo, Brazil

Sanaz Mostaghim, University of Karlsruhe, Germany

Gerard Murray, Port of Melbourne Corporation (PoMC), Australia

Akira Namatame, National Defense Academy, Japan

Paolo Renna, University of Basilicata, Italy

Alexandre Romariz, University of Brasilia (UnB), Brazil

Hooman Shayani, University College London, UK

Esteban Tlelo-Cuautle, National Institute for Astrophysics, Optics & Electronics, Mexico

Klaus G Troitzsch, University of Koblenz-Landau, Germany

Andres Upegui, Institute of Reconfigurable and Embedded Digital Systems, Switzerland

Thomas Weise, University of Kassel, Germany