Study On The Optimization Of Sequencing The Aircraft Landed Based On Partheno-genetic Algorithm

For recent years,there’s a significant boost of the nation’s eivil air traffic.Busyairports and terminal areas often suffer from air traffic congestion.The congestion hasinterrupted the regular operation of airlines and caused serious delays and enormouseconomic losses,yet it has endangered the safety of aviation.This major study of partheno-genetic algorithm for aircraft sequencingapplications. First, the paper present an overview of the aircraft terminal area flowscheduling, which involves the concept of air traffic flow management, terminal areatraffic management requirements. Second, Introduced the concept of geneticalgorithm and partheno-genetic algorithm, Established a model for aircraft sequencingin terminal area, including single-runway landing scheduling model, multi-runwaylanding sorting model. In addressing the issue of multi-runway, this paper proposesthe concept of a virtual flight. Through chromosome encoding and fitness functionimprovement, our algorithm achieved multi-runway. Finally, the establishment of thepreparation of the various sorting algorithms and the simulation model.In thesimulation process, we select a different combination of parameters for statisticalanalysis. This paper was obtained for the establishment of the various models ofparameters. With the optimal parameters combination， the simulation resultscompared with the usual first come first service algorithm. The results show thatsingle parent genetic algorithm to sort the aircraft terminal area, aircraft queue can bebetter optimized to reduce flight delays, so leave, the approaching aircraft can bequickly and orderly manner.