In order to solve the problem of inefficient transit connection at domestic airports, by analyzing the factors affecting the airport flight transfer connection, the concept and calculation method of hit were defined based on the theory of flight wave. On this basis, a time adjustment model was constructed with the goal of maximizing the number of hits of one-day transit connection at the hubs, and taking the time constraints, the detour constraints and the runway capacity constraints into account at the same time. An adaptive simulated annealing genetic algorithm was designed to solve this model, and the idea of simulated annealing was introduced into the adaptive genetic algorithm to improve the global search capability and convergence speed of the algorithm, and compared with traditional genetic algorithm and simulated annealing. Through the empirical analysis of the one-day flight data of the capital airport, the optimal number of hits under the three kinds of time window adjustment durations was solved respectively, and the corresponding flight schedules were iterated. The results show that the improved algorithm can obtain high-quality near-optimal solutions in a shorter time. The optimized time structure presents an obvious waveform structure, and the transit connection performance of the airport has been effectively improved.