Competitiveness among airlines requires using of innovative techniques to forecast of demands and maximization of revenue. The forecast of demand with associated to inner variables, such as price, and outer, such as economic conditions. The Maximization of revenue, is turn, with associated to the operational planning, such as flight schedules. In this scenario, there is a wide possibility of optimization techniques application. Inspired by the evolution mechanisms of living beings, the genetic algorithms method is distinguished by implementation ease; it is applicable in situations where you do not know the mathematical model. The technique present good results when compared to deterministic methods. Using the generic algorithms technique, this paper shows how is the modeling method for solving the optimization problem to maximize revenue a flight network from a small airline. It also made a comparison among the results obtained by the generic algorithm methods and Simplex.
air transport; genetic algorithms; optimization; linear programming