基于遗传算法的飞机滑行路径优化  

Taxing Optimization for Aircraft Based on Genetic Algorithm

作　　者：刘长有[1] 丛晓东[1] 

机构地区：[1]中国民航大学,天津300300

出　　处：《交通信息与安全》2009年第3期6-8,19,共4页Journal of Transport Information and Safety

基　　金：国家自然科学基金项目(批准号:60736045;60472130)资助

摘　　要：研究了飞机场面安全滑行问题,将典型冲突限制规则和安全间隔作为约束条件,建立了系统的无冲突滑行路径优化模型。基于遗传算法给出了该问题的优化算法,并进行了实际算例的计算机仿真验证。与不考虑冲突约束条件的最短路径算法的对比结果表明,算法避免了最短路径算法中存在的冲突现象,可以为繁忙机场的安全运行提供决策支持。In this paper, the conflict-free taxing problem was studied to keep the safe surface movements. A model was established by considering the safety taxing rules as constraints, and an optimizing algorithm of the safe shortest taxing path was given by using genetic algorithm. The numerical results of the illustrative example were given and compared with the non-constraint shortest path algorithm. The proposed approach can offer the conflict-free taxing scheme and thus provide decision making for safe taxing in busy airport.

关 键 词：繁忙机场 安全滑行 冲突避免 路径优化 遗传算法 

分 类 号：V35[航空宇航科学与技术—人机与环境工程]