Solving Infeasibilities in Dynamic Optimization Problems

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 problem by relaxing the constraints. The goal programming approach was used to solve the dynamic optimization problem. Two examples, exploring different characteristic of these kinds of problems, were used to illustrate the methodology. The results show the ability of the proposed approach in locating and solving the infeasibilities, increasing the robustness of DRTO systems.