大规模UAV目标编队的局域世界演化模型

针对大规模UAV编队执行任务中的目标分配问题,提出了一种新的基于局域世界演化的网络模型。首先通过对复杂网络社团生成过程的分析,改进了局域世界选择策略,同时考虑目标威胁评估对单UAV的合作意愿的影响,改进了择优连接策略。最后对生成的网络进行社团识别,根据社团划分结果的不同处理方法,得到目标分配问题不同的解。仿真的结果表明,生成网络具有明显的社团结构,同时具有很好的动态扩展性。

For large-scale UAV formation executing missions of target assignment problem, this paper proposes a new network model based on local- world evolution. Firstly, the local world selection strategy is improved through analyzing the community generation process of complex networks, at the same time, the preferential connection strategy is also improved considering the target threat assessment of the effects of single UAV＇s willingness. Finally, community detection method is applied to the generated network, we get different solutions of the target assignment problem, according to the different processing methods of community classification results. The simulation results show that the generated network has obvious community structure, and has a good dynamic scalability.