Author(s)

Yongna Liu, Wen Dong, Yihua Xia and Jie Zhang

Corresponding Author

Jie Zhang

ABSTRACT

UAV path planning is a multi-constrained optimization problem that finds the optimal path under the constraints of distance, obstacle avoidance and equilibrium constraints. This paper proposes a hybrid bat algorithm (HBA) which improves the traditional bat algorithm by adding precocity processing, mutation mechanism and dynamic step size, and simulates UAV path planning by simulating mountains. Compared with the classic BA algorithm, it can be seen that the hybrid bat algorithm effectively solves the problem of easy prematureness of the algorithm, improves the accuracy of the algorithm, and provides a solution for UAV path planning.

KEYWORDS

Simulation trajectory; precocious processing variation mechanism; dynamic step