基于能力优先的作战体系模型构建方法研究

摘要

As the BA scale-free model can’t imitate realistic war environment perfectly,because the traditional algorithm of complex network model construction cannot embody the characteristics of the weapon and equipment system used in the military application domains.So the algorithm need to be expanded.Combined the theory of OODA,this paper proposed a method that let new node choose the same kind nodes or neighbor kind nodes to connect instead of having the chance to connect every node.And it proposed a computing method that was capable for the weapon and equipment requirement and the construction algorithm of weapons and equipment operation model based on the mechanism of preferential choosing according to the ability of nodes and remedied the drawbacks of the later in node that could hard to develop in the BA scale-free model.Therefore,the node with high ability value in the network could be fully effective and improved the robustness of the network eventually.The experiment simulation has verified that the proposed model is suitable for the campaign mode in practical and has the lower complexity.Besides,contrasted the difference between the two model from the aspect of the parameters of degree distribution, cluster coefficient and average path of the network,the result proves the high invulnerability of the new network.%BA 无标度网络模型在模拟现实战争环境方面存在局限性，针对其算法无法体现军事应用领域武器装备作战体系特性的问题，对算法进行扩展。将原算法中全局选择连接机制改为按 OODA 作战环进行类内和邻类间选择连接，描述了一种武器装备能力的计算方法，并依据计算出的能力值将概率择优机制改为基于节点能力择优选择连接机制。由新算法生成的作战体系模型更贴近作战单元的实战部署，弥补了 BA 无标度模型后进节点难以发展为核心节点的不足，使能力值高的节点在网络中充分发挥作用。实验证明新算法具有较低的时间复杂度，通过对二者度分布、聚类系数和平均路径长度的对比分析，证明了新模型具有更好的鲁棒性。