3D path planning for micro air vehicles based on quantum-behaved particle swarm optimization algorithm
Zixi Liu · Journal of Central South University(Science and Technology) · 2013
Path planning in the 3D environment for micro air vehicles method based on quantum-behaved particle swarm optimization(QPSO) was presented.The method simplifies 3D coordinate data into 1D data by transforming the coordinates and discreting the flat into points,which makes a new map and a particle fitness function.The function determines the fitness of static and dynamic obstacles.Finally,a global optimal path can be gotten by quantum-behaved particle swarm optimization(QPSO).This algorithm has a simple model with only a few parameters to be adjusted,and simulation results verify the effectiveness of this algorithm.