An interactive approach is proposed for the optimization of deterministic systems with multiple criteria. This approach does not require an explicit knowledge of the decision maker's utility function, but it is assumed that the decision maker can provide local information about this function at each interation The use of this interactive approach is then illustrated by applying it to the satellite attitude control problem and results are presented