Continuous Particle Swarm Optimization(PSO) algorithm is used to plan reference track for UAVs in real-time. This method uses maximal turning radius,step,shortest distance and threat-evading as evaluation indexes of the fitness function.
采用连续型粒子群优化(PSO)算法进行无人机参考航迹的实时规划,以最大转弯半径、步进、最短距离和回避威胁作为适应度函数的评价指标,得到代表最优航路的离散点。
参考来源 - 采用粒子群优化算法的无人机实时航迹规划·2,447,543篇论文数据,部分数据来源于NoteExpress
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