Based on Improved Genetic Algorithm for UAV Route Planning and Simulation
YU Jia-xi · Jisuanji fangzhen · 2013
In order to improve the survivability of unmanned aircraft vehicle(UAV),this paper proposed an im- proved genetic algorithm about route planning. The route was denoted by one- dimension coding,and the objective function and the fitness function of the route planning problem were constructed. It adopted various measures for im- provement,for example,using multi- population,introducing immigration operator and artificial selection operator, and various groups with different control parameters. The simulation results show that the improved genetic algorithm has higher efficiency and stabilization than simple genetic algorithm,and it can also gain gently and low cost route. So the improved algorithm is a kind of effective and feasible route planning algorithm,with certain significance for popularization.