为了提高航空器在受到强对流天气影响区域中航路的通行效能，优化强对流天气影响下的航空器的改航路径，提出基于第三代非支配排序遗传算法（non-dominated sorting genetic algorithm III, NSGA-III）的多目标改航路径规划方法。通过构建飞行环境模型，根据空域情况划设飞行受限区，并在此基础上着重考虑航空器实施改航区域中强对流天气的影响，以航空器运行成本最低、改航角度最小、非直线系数最小、天气影响最小为目标，利用NSGA-III综合考虑安全性、经济性等因素，对某空域航路进行强对流天气下多目标改航的规划，并进行仿真分析。结果表明：NSGA-III能够综合考虑所提出的4个目标，计算出多条有效的备选改航路径。在选定2个改航点的条件下，在保障航空器安全运行的前提下考虑运行的经济性、合理性后，共有91条备选航路可供选择。

In order to improve the traffic efficiency of aircraft routes in areas affected by strong convective weather and optimize the diversion path of aircraft under the influence of strong convective weather, a multi-objective diversion path planning method based on the non-dominated sorting genetic algorithm III(NSGA-III) was proposed. By constructing a flight environment model and delineating flight restricted areas according to airspace conditions, and on this basis, focusing on the impact of strong convective weather in the area where the aircraft was diverted, the aircraft operation cost was the lowest, the diversion angle was the smallest, and the non-linear coefficient was the smallest, with the goal of minimizing the impact of weather, using NSGA-III to comprehensively considered factors such as safety and economy and other factors, a multi-target diversion plan for a certain airspace route under severe convective weather was carried out, and simulation analysis was conducted. The research results show that NSGA-III can comprehensively consider the four proposed goals and calculate multiple effective alternative diversion paths. Under the conditions of selecting two diversion points and taking into account the economy and rationality of the operation while ensuring the safe operation of the aircraft, a total of 91 alternative routes are available.