Departure aircraft sequence optimization using EDA

Minimization of flight delays by optimizing the departure aircraft sequence is a critical air traffic control problem. The estimation of distribution algorithm (EDA) is used here with a sliding window to optimize departures. Chromosomes representing the priority list are used with a fitness value based on the average departure delay. The sliding window in the traditional optimization process solves the problem of the oversized solution space caused by the large number of aircraft departures. Simulations show that the algorithm effectively optimizes the departure sequence, and that the sliding window parameters significantly affect the optimization results.