战时路径规划的不确定性包括参数、约束条件和决策目标等的不确定性。以基本蚁群算法为基础,结合随机模拟和模糊模拟技术,提出了一种改进蚁群算法来求解战时不确定性路径规划问题,并通过仿真示例与其他算法进行了比较。结果表明:该算法求解效率更高,求解过程更为直观,能够满足战时不确定性路径规划问题的研究。 Uncertainties in wartime path planning include uncertainties in parameters, constraints, and decision-making goals. Based on the basic ant colony algorithm, combined with stochastic simulation and fuzzy simulation technology, an improved ant colony algorithm is proposed to solve the uncertain path planning problem in wartime. The simulation example is compared with other algorithms. The results show that the proposed algorithm is more efficient and more intuitive to solve the problem of path planning in uncertain wartime.