Tourism products, such as unfilled airline seats, unoccupied hotel rooms, and unused facilities, cannot be stocked because of their perishable nature (Archer 1987). Therefore, accurately forecasting demand, usually measured by the number of tourist arrivals, is essential in assisting managerial,...

Accurate forecasting of inter-urban traffic flow has been one of most important issues globally in the research on road traffic congestion. The information of inter-urban traffic with a cyclic data pattern presents a more challenging situation. This investigation presents a short-term traffic...

Predicting fatigue life of composite materials is essential to increase reliability of manufacturing systems. The predicting techniques for fatigue life of composite materials are not widely investigated. The support vector regression (SVR) is an emerging forecasting technique and has been...

Prediction of stock markets is one of the most important topics in business. However, the stock markets are very complicated and thus difficult to predict. The ellipsoidal fuzzy system (EFS) learning with and without supervision has been successfully applied in solving control systems and...

"This book provides an introduction to the important interdisciplinary discipline of evolutionary computation, an artificial intelligence field that combines the principles of computational intelligence with the mechanisms of the theory of evolution"--Provided by publisher.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. The book focuses particularly on breaking trends in evolutionary computing, algorithms, and programming.