Research on multi-UAVs route planning method based on improved bat optimization algorithm

In a complex navigation environment, it is very important to solve the problems of multiple constraints and calculations in route planning process reconnaissance unmanned aerial vehicles (UAVs) improve flight effect, bat algorithm (BA) with simple parameters has certain effect on it. Aiming at unbalanced global optimization local slow convergence speed later iteration BA path multi-reconnaissance UAVs, Levy-based search strategy an improved (IBA) changing are designed. order multi-UAV problem, 3D space reduced divided two-dimensional based “scatter plot” method, spatial encoding method used. Finally, proved that IBA theoretically more concise effective than other algorithms.