Artikel ; Online: Distributed UUV cluster task allocation algorithm based on deep reinforcement learning
Zhihui kongzhi yu fangzhen, Vol 45, Iss 3, Pp 25-
2023 Band 33
Abstract: Task allocation is one of the basic and key issues in the research of agent clusters. UUV clusters are limited by underwater detection and communication capabilities in task allocation. UUV individuals can only obtain partial information around them, and ...
Abstract | Task allocation is one of the basic and key issues in the research of agent clusters. UUV clusters are limited by underwater detection and communication capabilities in task allocation. UUV individuals can only obtain partial information around them, and conventional global algorithms cannot be applied well. A task allocation algorithm based on deep reinforcement learning and distributed UUV cluster organizational structure is proposed. The algorithm first realizes the partial task allocation of each UUV individual, and then the information between adjacent individuals is consistent and coordinated, thus realizing the optimal task allocation of UUV cluster. Through the simulation experiment, the algorithm in this paper converges faster than the genetic algorithm, has less traffic and higher task allocation efficiency than the contract network algorithm, and the distributed architecture does not rely on the "command center". The UUV cluster system has higher robustness and higher task allocation reliability. |
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Schlagwörter | task allocation|deep reinforcement learning|distributed|multi-agent ; Military Science ; U |
Thema/Rubrik (Code) | 006 |
Sprache | Chinesisch |
Erscheinungsdatum | 2023-06-01T00:00:00Z |
Verlag | Editorial Office of Command Control and Simulation |
Dokumenttyp | Artikel ; Online |
Datenquelle | BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl) |
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