无人机避障，遗传算法，最短路径，求解TSP问题，仿真程序(Unmanned air vehicle obstacle avoidance)

通过这一算法可以实现二维平面内无人机的路径规划。在该平面内存在已知的障碍，势场法通过给终点添加引力，对障碍增加斥力，使得无人机能够顺利的避障并到达终点。通过对传统势场法的改进，避免了无人机容易陷入极值的问题，使搜索更易实现。(Through this algorithm, the path planning of the UAV in the two-dimensional plane can be realized. There are known obstacles in the plane

机器人避障航路规划蚁群算法MATLAB仿真代码合集，里面有17个关于机器人自动避障的算法，和无人机航路规划代码，还有蚁群遗传因子算法的具体MATLAB仿真代码，A*算法，RTT算法等很适合做数学建模比赛使用。(There are 17 algorithms of robot automatic obstacle avoidance, UAV route planning code, and the specific matlab simulation code of ant colony gen