摘要
自由飞行是解决航线拥挤的有效方法,但同时增加了空中交通管理的难度。免疫遗传算法是根据生物免疫原理提出的改进遗传算法,该算法主要体现了生物免疫机制中的免疫操作,与遗传算法相比,能较好地防治“早熟”和减少参数选取对结果的影响,优化效率高。将一种免疫遗传算法应用于自由飞行的冲突解脱问题,与标准遗传算法进行比较,取得了较好的优化效果。
Free flight is an effective way to solve the congestions of air traffic managements. But the difficulties in air traffic managements increase. IGA (immune genetic algorithm) is an improved GA (genetic algorithm) based on an immune principle, which simulates the immune system to solve the problems. Compared with GA, IGA could prevent pre- mature, reduce the influence of parameters and get high efficiency of optimization. The paper uses IGA to solve the air traffic conflicts in free flight and gets better optimization effect than GA.
出处
《航空计算技术》
2007年第1期41-43,共3页
Aeronautical Computing Technique
关键词
空中交通管理
免疫遗传算法
自由飞行
冲突解脱
air traffic management
IGA (immune genetic algorithm)
free flight
conflict resolution