Learning Improvement Heuristics for Multi-Unmanned Aerial Vehicle Task Allocation

Learning Improvement Heuristics for Multi-Unmanned Aerial Vehicle Task Allocation

Nowadays, small UAV swarms with the capability of carrying inexpensive munitions have been highly effective in strike missions against ground targets on the battlefield. Effective task allocation is crucial for improving the overall operational effectiveness of these UAV swarms. Traditional heuristi...

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Bibliographic Details
Main Authors:	Boyang Fan, Yuming Bo, Xiang Wu
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Drones
Subjects:	unmanned aerial vehicle (UAV) multi-UAV task allocation discrete particle swarm optimization reinforcement learning transformer
Online Access:	https://www.mdpi.com/2504-446X/8/11/636
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