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 complex calculations in the route planning process of multiple reconnaissance unmanned aerial vehicles (UAVs) to improve the flight reconnaissance effect, and the bat algorithm (BA) with simpl...

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Bibliographic Details
Published in:Cogent engineering 2023-12, Vol.10 (1)
Main Authors: Wang, Yongcheng, Hu, Yaqin, Zhang, Guohui, Cai, Chenxiao
Format: Article
Language:English
Subjects:
Improved bat algorithm
inertia weight
Levy flight
scatter plot
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Summary:In a complex navigation environment, it is very important to solve the problems of multiple constraints and complex calculations in the route planning process of multiple reconnaissance unmanned aerial vehicles (UAVs) to improve the flight reconnaissance effect, and the bat algorithm (BA) with simple parameters has a certain effect on it. Aiming at the problems of unbalanced global optimization and local optimization and slow convergence speed in the later iteration of the BA in the path planning of multi-reconnaissance UAVs, a Levy-based flight search strategy and an improved bat algorithm (IBA) with changing speed are designed. In order to solve the multi-UAV route planning problem, the 3D space is reduced to a divided two-dimensional space based on the "scatter plot" method, and the spatial encoding method is used. Finally, it is proved that the IBA is theoretically more concise and effective than other algorithms.
ISSN:2331-1916
2331-1916
DOI:10.1080/23311916.2023.2183803