Soft Computing Applications in Optimization, Control, and Recognition by Patricia Melin

Soft Computing Applications in Optimization, Control, and Recognition by Patricia Melin

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.

Dr. Sio-Iong Ao finished his doctoral research in The University of Hong Kong and postdoctoral researches in the University of Oxford and Harvard University and is a former visiting professor of Cranfield University, UK and University of Wyoming, USA.

Dr. Haeng-Kon Kim is currently a Dean of engineering college and a professor in the Department of Computer Engineering Catholic University of Daegu, in Korea. He has been a research staff member in Bell Lab. and NASA center in U.S.A. He has taught in Central Michigan Univ. in U.S.A. during his Sabbatical (Dec., 20, 2000 Feb., 20,2002).

Prof. Oscar Castillo is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Prof. Castillo serves as Research Director of Computer Science and head of the research group on fuzzy logic and genetic algorithms, and is President of HAFSA (Hispanic American Fuzzy Systems Association) and Vice-President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Vice-Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE).

Dr Alan H.S. Chan obtained his BSc, MPhil, and PhD from the University of Hong Kong. He has a wide range of research interests in human factors, work design, and occupational safety and health and has published more than 160 papers in SCI journals. He has been contributing to his profession and was elected as a Fellow of Institute of Industrial and Systems Engineers, International Ergonomics Association, Hong Kong Institution of Engineers, Institution of Engineering and Technology, and the Hong Kong Ergonomics Society. Dr Chan was the President of Institute of Industrial Engineers (HK) for 96/97 and twice the President of Hong Kong Ergonomics Society (03-05, 09-11).

Prof. Hideki Katagiri is a Professor of Department of Industrial Engineering and Management at Kanagawa University, Japan. He is also a Visiting Professor of Hiroshima University, Japan. His research and teaching activities are in the area of Operations Research and Computational Intelligence such as Mathematical Optimization under Uncertainty, Soft Computing and Data Analysis.​

SKU	Unavailable
ISBN 13	9783642353222
ISBN 10	3642353223
Title	Soft Computing Applications in Optimization, Control, and Recognition
Author	Patricia Melin
Series	Studies In Fuzziness And Soft Computing
Condition	Unavailable
Binding Type	Hardback
Publisher	Springer
Year published	2012-12-14
Number of pages	344
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.