Metodologia multiobjetivo de alocação de água utilizando algoritmo genético: o caso do reservatório Gramame-Mamuaba.

Abstract

Model is a representation of the real system. The use of mathematical models, computational tools and methodologies for planning and water management activities, with the purpose of assisting in decision making, are increasingly common. Generally, these systems use a variety of optimization models and hydrological, hydrogeological and water quality simulation. In this context, this work aimed to develop a multiobjective methodology to assist in the decision process for allocation of water in reservoirs, with case study in the reservoir Gramame-Manuaba, located in the state of Paraíba. For this study, the ε-constraint method with the technique of elitism associated with a genetic algorithm, taking into account the restrictions on the operation of the reservoir were used. The experiments were performed in MATLAB@ 2012a, demonstrating the effectiveness of the developed methodology as the decision support system of water allocation processes for the grant.