面向策略多样性的无人集群合作演化建模及仿真

Modeling and simulation of cooperative evolution of unmanned swarms for strategy diversity

针对无人集群自主协同时作战单元策略选择多样性问题,基于无标度网络,引入公共物品博弈理论,改进愿景驱动机制,构建无人集群合作演化模型。首先,理论推导出集群作战单元总效能解析表达式。然后,仿真分析多样性策略选择情况下,收益系数、愿景水平、策略数量、成本等各类参数变化对无人集群合作水平的影响。最后,据此给出无人集群作战中有效应对多样性选择的合理建议,为无人集群的自组织协同提供决策支持,为有关理论研究转变为实际军事应用提供理论支持。

Aiming at the diversity of strategy selection of autonomous cooperative simultaneous operation unit of unmanned swarm,based on scale-free network,the game theory of public goods is introduced to improve the vision driven mechanism and build the cooperative evolution model of unmanned swarm.Firstly,an analytical expression for the total effectiveness of cluster combat units is derived theoretically.Then,simulation analysis is conducted on the impact of changes in various parameters such as profit coefficient,vision level,number of strategies,and cost on the level of unmanned swarm cooperation under the condition of diversity strategy selection.Finally,based on this,reasonable suggestions are given to effectively deal with diverse sexual selection in unmanned swarm operations,providing decision-making support for self-organization and collaboration of unmanned swarm,and providing theoretical support for the transformation of relevant theoretical research into practical military applications.