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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Veröffentlicht in:	International Conference on Information Science and Technology S. 427 - 431
Hauptverfasser:	Cao, Zhuang, Wu, Di
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.12.2024
Schlagworte:	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
ISSN:	2573-3311
Online-Zugang:	Volltext
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