基于自适应变异粒子群算法的无人机航迹规划

提出一种基于自适应粒子群算法的航迹规划方法.航迹规划是低空突防过程中的关键技术,目的是得到一条既安全可靠又全局代价最优的三维航迹.针对基本粒子群优化算法容易陷入局部极值、进化后期的收敛速度慢和精度低等缺点,采用自适应粒子群优化算法,仿真结果表明该方法能够快速有效地完成规划任务,获得满意的三维航迹.

Route Planning for Unmanned Aerial Vehicles Based on Adaptive Mutation Particle Swarm Optimization

Flight route planning is a key technology in low-altitude penetration,which is used for obtaining a safe,reliable and global optimal three-dimensional flight route.A new route planning method was put forward based on an adaptive mutation particle swarm optimization.The basic particle swarm optimization has some defects,such as being liable to get into local extremum,slow convergence velocity and low convergence precision in the late evolutionary.An adaptive mutation particle swarm optimization can overcome ...