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The express aviation network hub optimization method research based on the genetic algorithm

机译:基于遗传算法的航空航空枢纽优化方法研究

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As to the location optimization of the express aviation, this paper presents a scientific and effective hub choice evaluation model, focusing on the goal of cost optimization. The result of optimization is automatically employed in the type and quantity selection of the freighters, accordingly a reference evaluation model is established for the express hub optimization, freighters selection and flight path design in the express aviation network. Genetic algorithm is applied in the solution of the model, with code rules and crossover operators being set correspondingly. In the last part, feasibility and effectiveness of this model is verified through a case study on optimization calculation.
机译:关于快速航空的选址优化,本文针对成本优化的目标,提出了一种科学有效的枢纽选择评估模型。优化的结果自动应用于货机的类型和数量选择,因此为快速航空网络中的快速枢纽优化,货机选择和飞行路线设计建立了参考评估模型。该模型的求解采用了遗传算法,并分别设置了编码规则和交叉算子。最后,通过对优化计算的案例研究,验证了该模型的可行性和有效性。

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