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Using Continuous Hopfield Network for Static sectorization of Airspace

机译:使用连续Hopfield网络来实现空域的静态扇区

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As traffic keeps increasing, en route capacity, especially in Europe, becomes a serious problem. According to the European Commission, every year, the number of flights in operation increases by 5%, which is the principal cause of airspace saturation and raise of the controller's workload. Today, the Sectorization of Airspace Problem (SAP) has become one of the most important problems of operational research. The main objective of the SAP is to minimize the total coordination workload between adjacent sectors and to balance the controllers' workload among sectors. To solve this problem, we model the SAP in terms of 0-1 quadratic programming subject to linear constraints. As result, we use the Continuous Hopfield Network CHN to solve the proposed model; in addition, some numerical results are introduced to confirm the most optimal model.
机译:随着交通不断增加,途径能力,特别是在欧洲,成为一个严重的问题。 据欧洲委员会根据欧洲委员会,每年的航班数量增加5%,这是空域饱和度和控制器工作量的升高的主要原因。 今天,空域问题的致力化(SAP)已成为运行研究中最重要的问题之一。 SAP的主要目标是最大限度地减少相邻部门之间的总协调工作量,并在扇区之间平衡控制器的工作量。 为了解决这个问题,我们根据0-1二次编程来模拟SAP,受线性约束。 结果,我们使用连续的Hopfield网络CHN来解决所提出的模型; 此外,还引入了一些数值结果以确认最佳的模型。

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