Abstract:In order to reduce the economic loss caused by flight delay and passenger detention, improve the flight operation efficiency without increasing the workload of controllers.In this paper, based on the original flight recovery model, introducing the runway capacity model, considering the passenger flow, airlines fairness and the influence of course important level, set up in each unit the restoration of the objective function is minimum total cost flights recovery model, this model is suitable for different single airport runway and configuration, the example cited in the domestic real delay data of a certain airport, and genetic algorithm and particle swarm algorithm to solve the model was optimized scheme, compared with the genetic algorithm, particle swarm is more suitable for the model, the convergence speed is faster.Compared with the existing flight operation, the total delay time of the optimized scheme is reduced by 11.85% and the total delay cost is reduced by 6.55%.Finally, TAAM simulation software was used to run the actual recovery scheme and the optimized recovery scheme respectively. The report showed that the possibility of conflicts in the terminal area in the optimized scheme was less and the controller's workload was lower, which verified the availability of the model and algorithm.