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AN IMPROVED ANT COLONY OPTIMIZATION APPROACH FOR MULTI-AIRCRAFT HORIZONTAL ESCAPE MANEUVERS

机译:一种改进的蚁群优化方法,用于多飞机水平逃生机动

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An improyed ant colony optimization approach for multi-aircraft escape maneuvers in the horizontal plane was proposed in this paper. An ant colony algorithm is a typical cluster algorithm, which is a new application in aircraft traffic collision avoidance system. A multi-aircraft horizontal maneuver model based on ant colony algorithm was proposed. The right maneuver angle as probability value was selected as the optimization parameter in the ant colony approach, which is a preference angle. And multiple simulation results showed that the improved ant colony algorithm made a great progress than the basic ant colony algorithm, which with the minimum maneuver cost in conflict escape. This improved ant colony optimization approach can apply in the next generation TCAS in horizontal RAs.
机译:本文提出了一种不适用于水平平面中的多飞机逃生机动的蚁群优化方法。蚁群算法是一种典型的聚类算法,它是飞机交通碰撞避免系统的新应用。提出了一种基于蚁群算法的多飞行器水平操纵模型。选择正确的操纵角度作为概率值作为蚁群方法中的优化参数,这是偏好角度。并且多种仿真结果表明,改进的蚁群算法比基本蚁群算法的进展很大,这与冲突逃逸的最低机动成本。这种改进的蚁群优化方法可以在水平RA中的下一代TCA中应用。

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