Fish-Inspired Task Allocation Algorithm for Multiple Unmanned Aerial Vehicles in Search and Rescue Missions

Fish-Inspired Task Allocation Algorithm for Multiple Unmanned Aerial Vehicles in Search and Rescue Missions

The challenge concerning the optimal allocation of tasks across multiple unmanned aerial vehicles (multi-UAVs) has significantly spurred research interest due to its contribution to the success of various fleet missions. This challenge becomes more complex in time-constrained missions, particularly...

Full description

Bibliographic Details
Main Authors: Amjaad Alhaqbani, Heba Kurdi, Kamal Youcef-Toumi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
disaster risk management
search and rescue
remote sensing
task allocation
bio-inspired algorithms
unmanned aerial vehicle
Online Access:https://www.mdpi.com/2072-4292/13/1/27

Internet

https://www.mdpi.com/2072-4292/13/1/27

Similar Items