Soft computing applications in industry

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Softcomputing techniques are crucial in various industries. This book compiles significant papers from renowned scientists worldwide, covering diverse application domains such as agroecology, bioinformatics, fluid-transport network design, dam scheduling, data analysis, phishing detection, transportation, motor fault detection, electronic circuit diagnosis, power distribution systems, flood routing, hazard sensing, healthcare, industrial chemical processes, software development knowledge management, local multipoint distribution systems, missing data estimation, rainfall intensity model calibration, systems engineering parameter identification, petroleum vessel mooring, P2P query answering, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, and vehicle routing, among others. The softcomputing techniques discussed include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, and various machine learning and statistical methods, including their combinations.