Path Planning for UAV Based on Mixed Ant Colony Algorithm
Meng Youxin · Jisuanji fangzhen · 2011
The key and difficult problem of UAV path planning is how to satisfy safety and real-time environment,meanwhile,a global path-planning and a local path-planning are considered to improve operational efficiency and survival probability.For this question,according to the existing research of UAV path planning,the method of synthesizing Ant Colony Algorithm(ACA) and Artificial Potential Field(APF) was discussed.ACA was used as a global route-planning algorithm,and APF was used as a local route-planning algorithm.Simulation results verify that the efficiency of the algorithm can provide some reference value to related researchers.