Urban low-altitude unmanned aerial vehicle (UAV) planning is inherently spatiotemporal because route feasibility and cost depend on segment arrival times. Search-stage surrogates may therefore favor paths that fail execution-level checks as moving obstacles, temporary no-fly zones, wind-dependent energy use, and buildi...
Kai-Jun Xu, Yi-Lin Hong, Hong-Da Luo et al.· Drones· 0 citations
The Improved Dhole Optimization Algorithm is proposed, which enhances the original DOA framework by integrating a logistic-map-based chaotic mapping, a dynamic chaotic perturbation mechanism, and an adaptive stage-division strategy, and significantly outperforms the original DOA in terms of convergence speed and final...
Wei-Qi Feng, Hongyu Chen, Yu-Jie Fu et al.· Aerospace· 0 citations
Simulation results demonstrate that the proposed method significantly improves delivery efficiency and solution quality in complex mountainous environments while ensuring trajectory feasibility and operational safety, and provides a scalable and practical optimization framework for low-altitude logistics network planni...
Yong Yang, Yujie Fu, Bowen Wang et al.· Drones· 0 citations
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