An evolutionary computation method is utilized to design a hierarchical and off-line path planner for multiple Unmanned Aerial Vehicles (UAV) coordinated navigation in known static environments.
提出了一种在已知静态环境下利用进化计算实现多无人飞行器的分层离线协同航迹规划方法。
The route prediction for multiple unmanned aerial vehicles (UAVs) task allocation in dynamic battlefield is a complicated path planning problem characterized by multiple paths and real time demands.
战场环境中多无人机任务分配的航路预估是一个具有多路径和实时性双重要求的路径规划问题。
A distributed maintain strategy for multiple unmanned aerial vehicle formation flight was designed by using comparative poison deviation.
设计了一种仅采用相对位置偏差状态进行多无人机编队阵形保持的分布式保持策略。
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