Abstract:When optimizing flight schedules, in order to solve the problem of mutual influence, mutual restriction and conflict between different goals, a flight schedule optimization model based on zero-sum game is proposed. Firstly, from the perspective of zero-sum game, a linear weighting method was used to obtain the optimal weight coefficients of each objective in the Nash equilibrium state. Then obtained coefficients are applied to the multi-objective problem of flight schedule optimization to construct flight schedule optimization Model.Finally solved by Firefly Algorithm (FA). This paper takes the total flight delay time and the total flight adjustments as targets, and takes Hangzhou Xiaoshan International Airport as an example to verify. The results show that the model reduces the total flight delays while effectively reducing the total flight adjustments and improves the overall Optimized benefits.