Dynamic Target Pursuit by Multi-UAV Under Communication Coverage: ACO-MATD3 Approach
This study proposes a new approach for cooperative pursuit of dynamic targets under communication coverage involving multi-unmanned aerial vehicles (UAVs). This approach combines the ant colony optimization algorithm with the multiagent twin delay deep deterministic policy gradient, called ACOMATD3....
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| Vydáno v: | International Conference on Information Science and Technology s. 427 - 431 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
06.12.2024
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| ISSN: | 2573-3311 |
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| Abstract | This study proposes a new approach for cooperative pursuit of dynamic targets under communication coverage involving multi-unmanned aerial vehicles (UAVs). This approach combines the ant colony optimization algorithm with the multiagent twin delay deep deterministic policy gradient, called ACOMATD3. The ACO-MATD3 algorithm dynamically adjusts hyperparameters based on varying stages and requirements, greatly enhancing the stability and performance of cooperative multiUAV pursuit tasks, especially under strong communication coverage. Experimental results demonstrate that the ACO-MATD3 algorithm significantly outperforms other algorithms in terms of mean reward and communication return. |
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| AbstractList | This study proposes a new approach for cooperative pursuit of dynamic targets under communication coverage involving multi-unmanned aerial vehicles (UAVs). This approach combines the ant colony optimization algorithm with the multiagent twin delay deep deterministic policy gradient, called ACOMATD3. The ACO-MATD3 algorithm dynamically adjusts hyperparameters based on varying stages and requirements, greatly enhancing the stability and performance of cooperative multiUAV pursuit tasks, especially under strong communication coverage. Experimental results demonstrate that the ACO-MATD3 algorithm significantly outperforms other algorithms in terms of mean reward and communication return. |
| Author | Wu, Di Cao, Zhuang |
| Author_xml | – sequence: 1 givenname: Zhuang surname: Cao fullname: Cao, Zhuang email: hnucz@hainanu.edu.cn organization: School of Information and Communication Engineering, Hainan University,Haikou,Hainan – sequence: 2 givenname: Di surname: Wu fullname: Wu, Di email: hainuicaplab@hainanu.edu.cn organization: School of Information and Communication Engineering, Hainan University,Haikou,Hainan |
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| Snippet | This study proposes a new approach for cooperative pursuit of dynamic targets under communication coverage involving multi-unmanned aerial vehicles (UAVs).... |
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| StartPage | 427 |
| SubjectTerms | Ant colony optimization Ant colony optimization algorithm Communication coverage Delays Heuristic algorithms Information science Multi-agent reinforcement learning Multi-UAV Optimization Pursuit Reinforcement learning Vehicle dynamics |
| Title | Dynamic Target Pursuit by Multi-UAV Under Communication Coverage: ACO-MATD3 Approach |
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