In order to solve the problem of flight delays caused by limited flight schedule resources, an inbound flight schedule resource optimization model was established. Considering the interval constraints on arrival points during the control and command process, as well as constraints on airport capacity, flight transfer connections, wake interval, and other constraints; genetic algorithms are used to find the time schedule with the least total flight delays and the least amount of delayed flights. Taking the flight time resource allocation of double runway airport as an example, the proposed algorithm is simulated and verified by AirTop software. The optimization results show that the flight schedule optimized by the proposed algorithm can run smoothly and can completely absorb nonserious flight delays.
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