基于遗传算法的机场场面目标冲突解脱方法
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空管科研课题任务书(课题编号:GKG200902005)

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Conflict resolution in airport surface based on genetic algorithm
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    摘要:

    为了解决机场场面运行研究中场面目标冲突解脱的问题,提出一种基于遗传算法的混合整数规划模型,详细研究了等待时间权重系数对冲突解脱的影响,对满足等待时间约束的情况,进行滑行时刻优化;不满足等待时间约束时,将典型冲突避免、滑行规则及安全间隔作为约束条件,建立场面滑行调度优化模型,基于遗传算法给出了飞机冲突路径的解脱优化算法。仿真结果表明这方法既可提高场面目标冲突解脱效率,又能得到滑行最优路径,验证了模型的可行性。

    Abstract:

    Scene target conflicts uncouple problem is the difficult problem of airport surface operation. A mixed integer programming model is proposed based on genetic algorithm. The impact of waiting time weight coefficients on the conflict uncouple is studied. For the satisfied waiting time constraints,the sliding time will be optimized;otherwise,it will consider the typical conflict avoiding,the slide rules and safety intervals as the constraints. The scene sliding schedule optimization model is established,and the liberation optimization algorithm of the aircraft conflict path is proposed based on genetic algorithm. The experimental results reveal that the proposed method not only can improve the uncouple efficiency of scene target conflicts,but also can achieve the sliding optimal path,which has verified the feasibility of the model.

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王小磊,罗喜伶.基于遗传算法的机场场面目标冲突解脱方法[J].太赫兹科学与电子信息学报,2013,11(2):304~308

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  • 收稿日期:2012-05-16
  • 最后修改日期:2012-06-04
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