摘要
研究了飞机场面滑行路径动态规划问题,将三种滑行冲突作为约束条件,建立了场面运行模块化模型。基于蜂群算法给出了问题的优化算法,并进行了计算机仿真实验,结果表明可以大大减少滑行时间。算法既可以用于滑行路径的动态规划,也可以为繁忙机场的安全运行提供决策支持。
The dynamic programming＇s problem of the plane taxiing at the airport is studied,and the three taxiing conflicts are used as a limiter,and the model of the operation is set up. The optimization algorithm based on Artificial Bees Colony is given,and computer simulations are carried out. The result shows that the taxiing＇s time can be greatly reduced. The algorithm not only can be used for the dynamic programming of the taxiing＇s path,but also can provide decision support for the safe operation of the busy airport.
出处
《航空计算技术》
2016年第1期56-59,69,共5页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(60979007
60739045)
