为进一步提高巡飞弹集群区域封控效能,以圆形区域作为目标区域模型,对基本蚁群算法及传统“Z”字形覆盖搜索算法进行改进。在蚁群算法的基础上采用增加一个自适应信息素增量因子,根据迭代次数的增加自适应调整信息素增量因子的大小,并在传统“Z”字形覆盖搜索算法的基础上提出了一种改进“Z”字形搜索策略,通过改进巡飞弹转弯时机和路径,使搜索相同区域所需时间减少,相同时间可搜索更大封控区域。仿真表明,改进蚁群算法在提高收敛速度的同时,能避免陷入局部最优,缩短路径长度,改进的“Z”字形封锁策略能有效减少封锁时间。

In order to further improve the efficiency of missile patrol cluster area sealing, the basic ant colony algorithm and the traditional “Z” shape coverage search algorithm are improved by taking the circular area as the target area model. On the basis of ant colony algorithm, an adaptive pheromone increment factor is added, and the size of the pheromone increment factor is adaptively adjusted according to the increase of iteration times. An improved “Z” shape search strategy is proposed based on the traditional “Z” shape coverage search algorithm. By improving the turning time and path of the missile patrol, the time required to search the same area is reduced, and a larger sealed area can be searched at the same time. Simulation results show that the improved ant colony algorithm can not only improve the convergence speed, but also avoid falling into local optimization and shorten the path length. The improved “Z” shape blocking strategy can effectively reduce the blocking time.