首页> 外文会议>2012 IEEE/AIAA 31st Digital Avionics Systems Conference. >An improved ant colony optimization approach for multi-aircraft horizontal escape maneuvers
【24h】

An improved ant colony optimization approach for multi-aircraft horizontal escape maneuvers

机译:一种改进的多机水平越狱机动蚁群优化方法

获取原文
获取原文并翻译 | 示例

摘要

An improved 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:提出了一种改进的蚁群优化方法,用于多飞机在水平面的逃生动作。蚁群算法是典型的聚类算法,是飞机交通避撞系统中的一种新应用。提出了一种基于蚁群算法的多机水平机动模型。在蚁群方法中,选择正确的机动角度作为概率值作为优化参数,这是一个优先角度。多个仿真结果表明,改进的蚁群算法比基本的蚁群算法有了较大的进步,在逃避冲突中具有最小的机动成本。这种改进的蚁群优化方法可以应用于水平RA中的下一代TCAS。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号