An Improved Dung Beetle Optimizer Based on Fuch Chaotic Map and Its Application in 3D Path Planning for Unmanned Aerial Vehicles
Published in ISCCN 2025, Nanjing, China, 2025
摘要 (Abstract)
Unmanned Aerial Vehicle (UAV) path planning in complex environments requires efficient optimization algorithms. In this paper, we propose an Improved Dung Beetle Optimizer (IDBO) based on the Fuch chaotic map to enhance the global search capability and convergence speed.
Experimental results demonstrate that the proposed IDBO algorithm outperforms standard DBO and other meta-heuristic algorithms in finding optimal collision-free paths in 3D environments.
Recommended citation: Chengxu Chu, et al. (2025). "An Improved Dung Beetle Optimizer Based on Fuch Chaotic Map..." Conference Name.
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