Hybrid metaheuristic-driven 3D path planning for UAVs in complex urban environments: a multi-objective fusion framework

Unmanned Aerial Vehicles (UAVs) offer transformative potential for urban logistics, but their deployment is challenged by complex 3D path planning in constrained environments. This study introduces GS-PSO, a novel multi-stage hybrid framework designed to address this challenge by sequentially integr...

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Bibliographic Details
Main Authors: Qing Cheng, Zhengyuan Zhang, Yunfei Du, Xi Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Geocarto International
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Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2025.2538099
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