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基于进化算法的多机协同冲突解脱方法

Multi-aircraft Conflict Resolution Method Based on Evolution Algorithm

中文摘要英文摘要

飞行冲突解脱是保障飞行安全关键技术之一。针对全局优化存在编码复杂、搜索空间大、多约束相互作用等问题,本文基于PSO算法提出一种高效集中式冲突解脱方法,在简化编码方式基础上,根据搜索空间的特性设计了自适应搜索机制,提高了求解质量。为了进一步提高求解速度,满足实时性要求,本文基于分而治之的思路提出了一种分布式多机协同的冲突解脱方法,每个飞机运用一个PSO算法优化自身的最优路线,通过信息共享协同实现冲突解脱,从而有效的提高系统有效性以及实时性。实验表明,本文提出的方法能够有效地提高求解速度和解脱后路线的质量,管制员可以根据实际运行需求选择满意的解脱方案。

Flight conflict resolution is one of the key technologies to ensure flight safety. Existing conflict resolution methods based on evolutionary algorithm are almost global optimization methods, which generally have complex coding, large searching space and within multi-constraint interacted. In order to improve the solution quality, this paper proposed a simple and effective coding method, and designed an adaptive searching mechanism to satisfy the specialty of the searching space. Moreover, due to the high complexity of the centralized method, we presented a cooperative multi-aircraft conflict resolution method based on co-evolution algorithm to reduce the complexity and solution time of the algorithm. In this method, each aircraft uses an evolutionary algorithm to optimize its own best route through sharing the information, thus the conflict is resolved. The results show that both the two proposed methods can effectively improve the solution speed and route quality, and the controllers can autonomously choose the solutions according their need.

吕骥、管祥民、张学军

航空

交通信息工程及控制冲突解脱PSO算法协同集中式分布式

raffic information engineering and controlconflict resolutionPSO algorithmcooperationcentralizeddistributed

吕骥,管祥民,张学军.基于进化算法的多机协同冲突解脱方法[EB/OL].(2013-07-18)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201307-275.点此复制

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