NDLI: Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

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Multi-UAV Cooperative Task Assignment Based on Orchard Picking Algorithm

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Weiheng Liu Xin Zheng Harish Garg
Abstract	The multi-unmanned aerial vehicle (UAV) must autonomously perform reconnaissance-attack-evaluation tasks under multiple constraints in the battlefield environment. This paper proposes a nearest neighbor method designed with the shortest neighboring distance as an indicator which quickly solves the optimal sequence of multiple tasks for cooperative execution. Each target to be destroyed requires a different quantity of ammunition; a cooperative task assignment model for heterogeneous UAVs is established accordingly. Based on the nearest neighbor method, and with reference to fruit-picking techniques currently in use, a novel “orchard picking algorithm (OPA)” is investigated as well. This algorithm proposed in this paper is a heuristic algorithm, which has a broad application prospect in complex task assignment. A cooperative attack task assignment is simulated to test the performance of the algorithm. In essence, it balances the assignment of tasks, works within a brief execution time, and exhibits high flexibility, strong robustness, and scalability.
Related Links	https://www.atlantis-press.com/article/125956107/view
ISSN	18756891
e-ISSN	18756883
DOI	10.2991/ijcis.d.210423.003
Journal	International Journal of Computational Intelligence Systems
Issue Number	1
Volume Number	14
Language	English
Publisher	Springer
Publisher Date	2021-01-01
Publisher Place	Switzerland
Access Restriction	Open
Subject Keyword	Electronic computers. Computer science Multi-objective Optimization Cooperative Task Assignment Heterogeneous Uavs Nearest Neighbor Method Orchard Picking Algorithm
Content Type	Text
Resource Type	Article
Subject	Computer Science Computational Mathematics

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