UAV 3D Path Planning Method Based on Adaptive Dung Beetle Algorithm
Due to the environmental characteristics of steep terrain and large gullies in mountainous areas,the UAV path planning in mountainous areas based on heuristic algorithm has slow speed and poor quality.To solve this problem,a path planning method of dung beetle algorithm based on adaptive action strategy is proposed.Firstly,the objective function of path planning is constructed with path length,flight safety and path smoothness.Then,the population similarity action mutation strategy and opposition-based learning strategy are introduced into the dung beetle algorithm to balance the local optimization and global optimization ability.Finally,by comparing the performance of sparrow algorithm,dung beetle algorithm and grey wolf algorithm on 12 benchmark functions,the results show that the proposed method has faster convergence speed and is not easy to fall into local optimum.The simulation experiment of path planning in mountainous area shows that the path planning quality of the proposed method is 37.66％higher than that of the dung beetle algorithm.
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