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multi-uav path planning

Robotica (1)

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Multi-UAV path planning based on IB-ABC with restricted planned arrival sequence
Li Tan, Jiaqi Shi, Jing Gao, Haoyu Wang, Hongtao Zhang, Yu Zhang
Journal:

Robotica / Volume 41 / Issue 4 / April 2023

Published online by Cambridge University Press:

12 December 2022, pp. 1244-1257
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Path planning is a key research issue in the field of unmanned aerial vehicle (UAV) applications. In practical applications, multi-objective path planning is usually required for multi-UAVs, so this paper proposes the improved balanced artificial bee colony (IB-ABC) algorithm to optimize multi-objective path planning. The algorithm adopts the ABC algorithm that emphasizes the global search capability, which is based on iterative feedback information. It uses single-element points, multi-element points, and iteration constraints to optimize the strategies of employed bees, follower bees, and scout bees, respectively. In terms of time and priority, simulation experiments prove that the IB-ABC algorithm can balance local and global search capabilities, accelerate the speed of convergence, and realize multi-UAV path planning in complex mountain environments.