DRTO Systems sometimes present failures when solving dynamic optimization problems. There are situations where the infeasibilities are due to the initial conditions, changing of constraints during the operation, or even in presence of conflicts between some specifications. The proposed method consists in solving these infeasibilities by reformulating the DAOP as a multi-objective optimization p...

Goal programming is a technique often used in engineering design activities primarily to find a compromised solution which will simultaneously satisfy a number of design goals. In solving goal programming problems, classical methods reduce the multiple goal-attainment problem into a single objective of minimizing a weighted sum of deviations from goals. In this paper, we pose the goal programmi...

Multiobjective portfolio optimization problem is the portfolio process of the highest expected return among the various financial commodities of the capital market to meet the expected return objectives. And one of the most important and common management issues lies in determining the best portfolio out of a given set of investment proposals. As we know, modern portfolio theory provides a well...

Optimal operation of reservoir has been an active area of research for many years. Various techniques have been developed and adopted for reservoir operation incorporating the uncertainty due to stochastic nature of inflows and demands. However there is not much literature reported on models incorporating uncertainty caused due to imprecise goals and objectives. In the present paper a fuzzy opt...