在中长途航线中，经停航线是指航班在飞行途中经过某个地区进行短暂停留，它能够提高客座率，保障更多乘客参与出行，对合理布设资源至关重要。目前航线优化研究普遍采用去除经停点并在单一目标下修改起降点的方式进行研究，这种方式忽略了经停点的旅客需求，优化成本高、难度大。为解决航线经停点优化问题，以西南三省一市内5个主要枢纽机场群为研究对象，建立了用户满意度最高和决策者利益最大的双目标优化模型。与传统固定算法不同，为适应经停点优化研究，采用了启发式算法的改进鲸鱼优化算法（whale optimization algorithm, WOA）对模型进行求解计算。通过对国内干线航线网络的经停点做实证分析验证，研究结果显示，优化后每条经停航线增加了4个备选经停点，旅客满意度提升了17.55%，航司利益提升了6.64%，从决策者和用户两个角度权衡考虑，有效地提升了航线覆盖范围与航班的连通性。

In medium and long-haul routes, stopover routes are defined as flights that make brief stops in a certain region during their journey, which can enhance seat occupancy rates, ensure more passengers are accommodated, and are considered crucial for the rational allocation of resources. Current research on route optimization commonly adopts the method of removing stopover points and modifying departure and arrival points under a single objective, which results in the passenger demand at stopover points being overlooked, leading to high optimization costs and increased difficulty. To address the optimization problem of flight stopover points, the five major hub airport groups within the three southwestern provinces and one municipality were taken as the research object, and a bi-objective optimization model was established to maximize user satisfaction and decision-maker benefits. Unlike traditional fixed algorithms, an improved heuristic algorithm, the whale optimization algorithm (WOA), was employed to solve the model, which was adapted to the study of stopover point optimization. Through empirical analysis of the stopover points in the domestic trunk route network, it is demonstrated that each optimized stopover route is increased by four alternative stopover points, passenger satisfaction is improved by 17.55%, and airline benefits are increased by 6.64%. By considering the trade-offs from both the decision-maker's and the user's perspectives, the coverage of routes and the connectivity of flights are effectively enhanced.