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Dijkstra's algorithm based robust optimization to airline network planning

机译:基于Dijkstra算法的航空网络规划鲁棒优化

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this paper applies Robust Optimization method to optimize the airline network planning process. The Dijkstra's Algorithm is firstly introduced to improve the initial solution and neighborhood structure. And the Robust Optimization method is applied to the problem of selecting the hub aerodromes in the airline network to help the decision making process. Furthermore, a hub-and-spoke network among 15 cities is constructed with the method application. The computation result shows its good usability in airline optimization solution. Consequently, the method can be used to instruct the airline network optimization in China.
机译:本文采用鲁棒优化方法对航空公司网络规划过程进行优化。首先引入了Dijkstra算法,以改善初始解和邻域结构。并将鲁棒优化方法应用于航空公司网络中枢纽机场的选择问题,以帮助决策过程。此外,通过该方法的应用,在15个城市之间建立了辐射状网络。计算结果表明了其在航空公司优化解决方案中的良好实用性。因此,该方法可用于指导中国的航空公司网络优化。

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