Abstract
In this paper, aiming at the slow convergence problem of ant colony algorithm in UAV three-dimensional path planning, the heuristic function and local search strategy of improved ant colony algorithm with angle factor are proposed. The simulation results show that the ability of the improved ant colony algorithm to find the optimal solution in the three-dimensional environment is improved. Compared with the traditional algorithm, the overall route planning is shortened by 22 km, and the convergence speed is 51.3% of the original algorithm. The algorithm not only reduces the complexity of UAV track search, but also effectively improves the convergence speed and search efficiency of ant colony algorithm. It shows that the improved ant colony algorithm is feasible and effective in UAV three-dimensional path planning, and provides a new strategy for three-dimensional path planning.
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