针对组网雷达的干扰效率问题, 设计了一种改进的遗传算法并将其应用于干扰资源分配问题, 进而分别就一对一、多对少、少对多3种分配模型进行了分配方案制定以及干扰效益值计算。通过与其他算法结果的对比, 发现本算法不但取得了较优的分配结果和效益值, 且需要的迭代次数较少, 验证了算法的高效性。

To improve the efficiency of networked radar interference, an improved genetic algorithm was designed and applied to interference resource allocation. As to the three allocation models (one-by-one, more-by-less, and less-by-more), the allocation plans were made and the interference benefit value was calculated respectively. Compared with the results of other algorithms, the improved genetic algorithm not only gets better allocation results and benefit value, but also needs fewer iterative times, which verify the high efficiency of this algorithm.