Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework

Dynamic UAV Task Allocation and Path Planning with Energy Management Using Adaptive PSO in Rolling Horizon Framework

Unmanned aerial vehicles (UAVs) are increasingly deployed in dynamic environments for applications such as surveillance, delivery, and data collection, where efficient task allocation and path planning are critical to minimizing mission completion time while managing limited energy resources. This p...

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Bibliographic Details
Main Authors: Zhen Han, Weian Guo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
unmanned aerial vehicles (UAVs)
task allocation
path planning
energy management
Particle Swarm Optimization (PSO)
rolling horizon planning
Online Access:https://www.mdpi.com/2076-3417/15/8/4220
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