Simulation of global optimal flight path planning for UAV

Based on the artificial potential field and genetic algorithms, a method of flight path planning for UAV in the threat network was proposed. The threats were divided by Delaunay triangulation. According to the passing directions and sequence of the triangles' lines, a binary coding method was designed. Then the threats were taken as repulsion sources and the steady-state result of the differential equations is the optimal flight path of the code array. The global optimal flight path could be obtained by using genetic algorithms. Simulation results show that the method is effective.