基于GA-AHP算法的多目标威胁评估

威胁评估是空战中不可或缺的一环。为了准确描述多目标威胁程度，首先，建立威胁指标模型，采用遗传算法和层次分析法相结合的GA AHP算法，通过威胁判断矩阵建立一致性指标函数，将求解特征向量的问题转换成求解一致性比值的问题；其次，调整算法参数并与其他方法进行对比，根据一致性比值筛选出最优的特征向量；最后，根据指标威胁函数，以2v4的多目标空战环境为背景，计算敌机对我机的各个指标威胁值，并根据最优特征向量，得到多目标威胁排序。实验证明，GA AHP算法能够产生更加优化的一致性指标值和特征向量，准确描述了多目标的威胁程度。

Multi-Target Threat Assessment Based on GA-AHP Algorithm

Threat assessment is an integral part in air combat. In order to accurately describe the threat degree of multiple targets, firstly, according to the threat indicator model, combined with the genetic algorithm and analytic hierarchy process (AHP), a GA AHP algorithm is adopted to establish the consistency indicator function through the threat judgment matrix, and the problem of solving the eigenvector is converted into the problem of solving the consistency ratio. Secondly, through adjusting the parameters of the algorithm and comparing with other methods, the optimal feature vector is selected according to the consistency ratio. Finally, based on the index threat function and taking the multi-target air combat environment of 2v4 as the background, the target threat value of each index is calculated, and the multi-target threat ranking is obtained according to the optimal eigenvector. The experiments show that the GA AHP algorithm can produce more optimized consistency index value and eigenvector, and accurately describe the threat degree of multiple targets.