基于蚁群算法的无人机抢险救灾的优化方案_杨懿森

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说明：  研究了在抢险工作中多无人机路线规划的问题。结合无人机自身缺陷，采用分层规划思想，将问 题转化为多旅行商问题，通过蚁群算法找出一条最优路径，并在最优路径的基础上，结合每个重灾区域巡 查任务量的不同，依次遍历比较不同无人机分配方案和路径组合上时间消耗，筛选出符合时间限制的方案 组合 , 为无人机规划出最佳工作路线以及架次的方案。(This paper studies the problem of multi-UAV route planning in emergency. Combined with the self-defect of UAV, the idea of hierarchical programming is adopted to convert the problem into multi-traveling salesman problem. An ant colony algorithm is used to find an optimal path. Based on the optimal path, combined with different traversal, different UAV distribution programs and path combinations on time consumption are compared, the program portfolio conforming to time limit is screened out, to provide the best working route and scheduling program for the UAV)

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基于蚁群算法的无人机抢险救灾的优化方案_杨懿森.pdf, 1140439 , 2019-01-25