Hydroinformatics addresses cross-disciplinary issues ranging from technological and sociological to more general environmental concerns, including an ethical perspective. It covers the application of information technology in the widest sense to problems of the aquatic environment. This two-volume publication contains about 250 high quality papers contributed by authors from over 50 countries. The proceedings present many exciting new findings in the emerging subjects, as well as their applications, such as: data mining, data assimilation, artificial neural networks, fuzzy logic, genetic algorithms and genetic programming, chaos theory and support vector machines, geographic information systems and virtual imaging, decision support and management systems, Internet-based technologies. This book provides an excellent reference to researchers, graduate students, practitioners, and all those interested in the field of hydroinformatics. Contents: .: Vol. I: Keynote Addresses; Numerical Methods; Hydrodynamics, Ecology and Water Quality Modelling; Experiences with Modelling Systems; Data Acquisition and Management; Geographic Information Systems and Virtual Imaging; Optimization and Evolutionary Algorithms; Vol. II: Decision Support and Management Systems; Forecasting and Data Assimilation; Artificial Neural Networks; Fuzzy Logic; Chaos Theory and Support Vector Machines; Data Mining and Knowledge Discovery; Uncertainty and Risk Analysis; Integration of Technologies and Systems; Internet-Based Technologies and Applications. Readership: Graduate students, academics, researchers and practitioners in civil engineering, artificial intelligence, optimization, and probability and statisticsSUMMARY The globally oriented GA-SX algorithm, combining a populationa evolution-based search strategy and a Nelder-Mead ... It combines various crossover and mutation operators (Michalewicz ) designed specifically to handle a float ... a manual calibration, suggesting that the results of an extensive manual calibration can be outperfonned by a simple random search. ... a#39;2a#39; Nelder, J.A. and Mead, R., aA simplex method for function minimizationa, Computer Journal, Vol.
|Author||:||Shie-Yui Liong, Vladan Babovic, Kok-Kwang Phoon|
|Publisher||:||World Scientific - 2004-01-01|