Dynamic aircraft landing scheduling based on improved immune particle swarm optimization

Abstract

Abstract:

In order to improve the air traffic flow management in airport terminal area,the dynamic flight landing sequence is adjusted to achieve the most effective use of the airport and airspace capacity. To reduce the economic loss of flight delays,a novel dynamic immune particle swarm optimization (DIPSO)is designed,focusing on dynamic change of the aircraft landing scheduling,combining with the sliding time window and considering various realistic constraints,ensuring minimum flight delay cost while taking into consideration the work load of controllers and flight landing fairness. Simulation results show that this model effectively reduces the delay cost in dealing with dynamic flight landing compared with first-come,first-served principle

Key words: immune particle swarm optimization, scheduling of flight landing, dynamic, minimum delay cost

CLC Number:

FENG Xing-jie,LIU Dong. Dynamic aircraft landing scheduling based on improved immune particle swarm optimization[J]. .

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