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The Model of Flight Recovery Problem with Decision Factors and Its Optimization

机译:具有决策因素的飞行恢复问题模型及其优化

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For different scenarios of flight recovery problems, a mathematical model for flight recovery is constructed while considering the factors of decision variables and scenarios. The model deals with the problem of optimized objective functions and the constraints based on actual requirements. The mathematical optimization model Ml with determining recovery time is established to minimize the objective function of aircraft swapping, flight cancellation and flight delay cost. For the case of uncertain recovery time, or uncertain opening and closing time of the airport due to weather conditions, the mathematical optimization model M2 is used to make simple adjustments to the results obtained by the model M1, including flight rearrangements, flight delays or cancellations when curfew is encountered, and to minimize the total cost. For actual flight recovery time, the stochastic model M of the flight recovery problem is established by the combination of the constructed model Ml and M2. Finally, the Iingo9 is applied to solve the optimization problem. The computational results indicate that the proposed model can handle actual target requirements of the flight recovery problem, and has the characteristics of good flexibility and scalability.
机译:对于不同的飞行恢复问题场景,在考虑决策变量和场景因素的前提下,构建了飞行恢复数学模型。该模型处理了优化目标函数和基于实际需求的约束的问题。建立具有确定恢复时间的数学优化模型M1以最小化飞机交换,飞行取消和飞行延误成本的目标函数。对于不确定的恢复时间或由于天气情况导致的机场开放和关闭时间不确定的情况,数学优化模型M2用于对模型M1获得的结果进行简单的调整,包括航班重新安排,航班延误或取消当遇到宵禁时,以最大程度地降低总成本。对于实际的飞行恢复时间,通过所构造的模型M1和M2的组合来建立飞行恢复问题的随机模型M。最后,将Iingo9用于解决优化问题。计算结果表明,所提出的模型能够满足飞行恢复问题的实际目标要求,并且具有良好的灵活性和可扩展性。

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