In this paper we present results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a room of the LESO experimental building. The blind controller which is based on fuzzy logic was optimized not only in terms of energy consumption but also in terms of thermal comfort. The goal is to show saving potential for intelligent blind controller on a real world example rather than on tailored idealized test rooms. Therefore we combined a state of the art simulation program with a multi-objective evolutionary algorithms. It was found that with elementary control systems, like schedules for the lighting in a building, almost 40% of the energy could be saved. With the help of more advanced controllers the savings can be further increased.