摘要
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 difference between the actual and planned departure and landing time in wartime, a dynamic departure and landing scheduling policy based on receding horizon optimization is put forward. For plane queue falling into each predictive window, minimal sum of weighted earliness and tardiness is defined as the objective function. With this method the model of departure and landing scheduling of military aircraft is transformed into the model of single machine weighted E/T scheduling. A discrete panicle swarm optimization based on nature number field is designed to deal with the model. The simulation experiment is carried out to determine some model parameters and the result testifies the validity of the model and algorithm.
出处
《计算机与现代化》
2012年第5期101-105,共5页
Computer and Modernization
基金
航空科学基金资助项目(20085584010)
关键词
滚动时域优化
动态调度
起降调度
离散粒子群算法
receding horizon optimization
dynamic scheduling
departure and landing scheduling
discrete particle optimization
