Abstract: To make a safe,fair and efficient tactical decision in ATC (air traffic control),the collaborative aircraft scheduling (CAS) problem was studied,in which the factors concerning ATC,airlines and airports were considered. A collaborative airline scheduling strategy and a multi-objection optimization model were presented. The objectives of the mode are to minimize the total delay costs and the workloads of air traffic controllers,and to maximize the fairness among airlines. A multi-objective genetic algorithm was designed to solve the proposed model. The results of an experimental example show that,compared with that of FCFS (first come,first served),the delay cost is reduced by 61.4%,and it is more evenly distributed among airlines.