scholarly journals An airspace model aplicable for automatic flight route planning inside free route airspace

Author(s):  
Grzegorz Drupka ◽  
Andrzej Majka ◽  
Tomasz Rogalski ◽  
Leszek Trela
Author(s):  
Юрій Леонідович Бондаренко ◽  
Сергій Олексійович Дупелич ◽  
Вадим Ярославович Горбач

Author(s):  
Lifeng Liu ◽  
Zongwei Niu

This paper mainly studies the flight route planning in complex and uncertain environments. The improved artificial immune algorithm is used to complete the flight route planning in different complex environments. The experimental results show that the improved artificial immune algorithm has a higher success rate of route planning than the common genetic algorithm in complex environments; therefore, it also shows that this method has better adaptability in complex environment


2014 ◽  
Vol 687-691 ◽  
pp. 1443-1447
Author(s):  
Shou Fu Sun ◽  
Jun Huang ◽  
Wan Feng Ji ◽  
Yun Lin ◽  
Qian Yu Zhang

Route planning model problem is a key point in flight route planning problem research. Whether objective function model design is reasonable or not has very important influence on the efficiency and accuracy of route planning. Continuous threat probability function model is established, route planning objective function model is constructed, and genetic algorithm is applied to route planning, and finally the effectiveness of the model is verified by simulation calculation.


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