Multi Objetive Optimization of Airports, Gate Scheduling by Using NSGA-II Algorithm

Optimization of Airports, gate scheduling is a vital activity. The main purpose of this optimization is to find a proper allocation for the flights arriving and departing by considering all of limitations. Studies show that the gate scheduling is applied for minimizing the gate flights delay and maximizing the gate efficiency and productivity. The optimization is formulated as a mixed-integer programming (MIP). The paper is studied data from Mehrabad International Airport. Our results show that the model can be solved by using NSGA-II algorithm in a short time. The set of Pareto solutions are ranked by TOPSIS method and the first 10 solutions are reported. The results show that although adding the first objective function (crowd congestion) leads to %8 reduction of the third objective function (the total gate assignment preference); the first objective function has a positive effect on the satisfaction of passengers.