This paper considers the hybrid flow shop scheduling problem. Most real world scheduling problems are NP-hard in nature. The main purpose of this paper is to present a new approach to the objective version of the well known hybrid flow shop problem. The processing of each job on each machine is...

Forecasting and monitoring of rainfall values are increasingly important for decreasing economic loss caused by flash floods. Based on statistical learning theory, support vector regression (SVR) has been used to deal with forecasting problems. Performing structural risk minimization rather than...