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为了减少作战时军用飞机实际起降时刻与计划起降时刻产生的偏差,提出一种基于滚动时域优化原理的动态机场起降调度策略,分析军用飞机起降过程中的时间窗口约束和尾流间隔约束。对进入每个预测窗口内的飞机队列,以加权提前/延误时间和最小作为目标函数,将军用飞机起降调度模型转换为带到达时间的单机加权E/T调度模型。设计一种针对自然数域的离散粒子群算法,并应用该算法进行模型求解。通过仿真实验确定了算法的参数,仿真结果说明了模型和算法的有效性。
In order to reduce the discrepancy between the actual takeoff and landing time of the military aircraft and the scheduled takeoff and landing time, a dynamic airport takeoff and landing scheduling strategy based on the rolling time domain optimization principle is proposed to analyze the time window constraints and wake Interval constraint. For aircraft queues entering each forecasting window, weighted take-off / take-off time and minimum are taken as objective functions to convert military aircraft takeoff and landing dispatch model into single-machine weighted E / T dispatch model with arrival time. A discrete particle swarm optimization algorithm is designed for the natural number domain, and the algorithm is used to solve the model. The parameters of the algorithm are determined through simulation experiments. The simulation results show the effectiveness of the model and the algorithm.