基于二进制粒子群算法的战时航空网络规划研究

领空作为国家资源的一部分,其使用、调配关系到国家的安全与发展,在战时,将更多的空中资源调配给军航使用,有利于保障军事行动的顺利进行。基于此,提出一种基于二进制粒子群算法(BPSO)的战时航空网络规划方法。首先,对航空网络建模,收集航班数据;其次,建立航空网络性能评价体系;然后,以使用尽可能少的民航机场维持预期网络性能为目标,以作战意图和战场环境为约束条件,通过BPSO 算法进行求解;最后,进行仿真分析。结果表明:该方法能够结合作战意图、反映战场环境、合理调配航空资源,为战时航空管制工作提供决策依据。

Study on Wartime Aviation Network Planning Based on Binary Particle Swarm Optimization

Air space is an important national resource. Its use and deployment affect the security and development of the country. In wartime, more air resources will be allocated to military flights, which will help guarantee military operations. Therefore, a wartime aviation network planning method based on binary particle swarm optimization algorithm is proposed. First, model the aviation network and collect flight data. Secondly, an evaluation system of aviation network performance is established. Then, BPSO algorithm is used to solve the problem. The goal of the solution is to maintain the expected network performance with as few civil airports as possible. The constraint conditions for the solution are operational intent and battlefield environment. Finally, the simulation analysis is carried out. The results show that the method can combine the combat intention, reflect the battlefield environment and reasonably allocate the aviation resources, and provide decision-making basis for the wartime aviation control work.