Research of Training Airspace Planning based on Genetic Algorithm

被引：0
|
作者：
Ma, Jiacheng [1 ]
Yao, Dengkai [1 ]
Zhao, Guhao [1 ]
机构：
[1] Air Force Engn Univ, Air Traff Control Coll, Xian 710051, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE ADVANCES IN MATERIALS, MACHINERY, ELECTRICAL ENGINEERING (AMMEE 2017) | 2017年 / 114卷
关键词：
airspace; genetic algorithm; packing optimization; BL algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Airspace planning of tactical training is a centralized planning, which is typical for Air Force tactical training. Because of the complexity of airspace and the diversity of training courses, artificial packing can't guarantee the utilization rate of airspace. Due to the irregularities of airspace, the minimum horizon merit-based insertion algorithm was proposed based on analysis of BL algorithm considering the reasonable utilization of surrounding airspace; On account of airspace limitation, selection operator, crossover operator and fitness function were established based on basic genetic algorithm, and for the purpose of packing optimization, genetic algorithm and improved packing algorithm were combined. The results show that the algorithm can ensure the utilization of airspace. The above method may provide a scientific basis for airspace planning of tactical training in real life.
引用
收藏
页码：687 / 692
页数：6
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