The Scheduling Optimization of Arrived Flights

Aiming at the application of ant colony algorithm (ACA) to the problem of airport surface scheduling, firstly, a part of one domestic hub airport is abstracted as network-topology graph with nodes. Then the ACA is combined with the mathematical model of airport surface taxiing, and the updating regulation of pheromone of colony algorithm is improved to optimize the scheduling route. Finally, the experiment simulations are made by two different algorithms Compared the results to the actual data, it can come to the conclusion that the scheduling information is optimized with ACA and improved ACA, meanwhile, the taxiing distance and time is declined with improved ACA compared to ACA.