Otimização de scheduling de tarefas para satélite de observação da Terra

Earth Observation Satellites are remote sensing satellites used for imaging tasks on Earth. However, they are still scarce with respect to the increasing uses and requests for imaging. As a result, the optimization of the scheduling plays an important role in the management of satellites. Here, the problem is modeled and implemented in a computational platform named AEROGRAF, and a hybrid Genetic Algorithm is used to handle the problem. The proposed method was able to optimize the scheduling for 300 targets in a few seconds, maximizing the given objective function.