This paper proposes an aspiration level approach to multi-objective method of using GDEA (Generalized Data Envelopment Analysis) and GA (Genetic Algorithms). Moreover, through numerical examples, we show that several Pareto optimal solutions closest to a aspiration level of decision makers can be listed up, as candidates of a final decision making solution, by the proposed method.
