基于粒子群优化的蚁群算法在战场电磁频率分配中的应用

为对战场电磁频率进行有效分配以减少用频设备间的相互干扰，提出了将一种基于粒子群优化的蚁群算法应用于频率分配的方法。首先介绍了战场频率管控流程的相关内容，并以干扰度最低为目标函数，使用基于粒子群算法优化的蚁群算法进行频率分配管理。粒子群算法优化蚁群算法中启发信息的权重及信息素挥发系数，作为粒子群位置和速度参数进行初始化，将粒子群算法生成的分配结果作为蚁群算法的初始信息素，利用蚁群算法较强的寻优能力寻找最佳分配方案。实验结果验证了该算法和模型的可行性。

Application of Ant Colony Algorithm Based on P article Swarm in Frequency Assignment on Battlefield

The multiple optimization method for frequency assignment is put forward to solve the inter?interference of the ra?dio equipment on the battlefield. The relevant content of battlefield frequency?control process is introduced and the minimum interference is used as the objective function. For optimizing the ant colony algorithm the particle swarm algorithm is initial?ized by setting the weight of the heuristic information and pheromone volatilization coefficient as the location and velocity. The distribution result of the particle swarm algorithm is used as the initial pheromone of ant colony algorithm to search the opti?mal scheduling scheme. The experiment result proves the feasibility of the model and the algorithm.