School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China;
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China;
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China;
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China;
The General Design Department, Sichuan Academy of Aerospace Technology, Chengdu, 610100, China;
Unmanned aerial vehicles; Search methods; Task analysis; Heuristic algorithms; Vehicle dynamics; Algorithm design and analysis; Collaboration;
机译:基于人工势场蚁群算法的无人机群协同搜索
机译:动态和不确定环境下多无人机协同弹道重新规划的最大-最小自适应蚁群优化方法
机译:复杂环境下无人机全局最优轨迹规划的改进蚁群算法。
机译:基于改进的蚁群算法在不确定环境中的基于UAV群的合作搜索
机译:基于光学的ATR算法,适用于成群的无人机。
机译:改进蚁群算法和MDP的移动机器人的路径规划在基于网格环境中产生平滑轨迹
机译:基于蚁群算法的改进的DV跳算法和无线传感器网络位置问题的粒子群优化