A genetic algorithm for path planning of UAV
Deyun Zhou · Electronics Optics & Control · 2005
The optimal route of an unmanned air vehicle(UAV)should be loaded according to the battlefield environment before UAV carrying out a mission,and the route performance is of vital importance to UAV's operational efficiency.In this paper,genetic algorithm is used for the route optimizing of UAV.The path points and threats' position are denoted in the form of polar coordinates,which can shorten the gene code length,speed up the execution of genetic search for fast path generation.The simulation results demonstrated that this encoding method can complete planning mission efficiently and get a desirable route avoiding the threats.