Game Theory-based Optimal Cooperative Path Planning for Multiple UAVs

This paper presents new cooperative path planning algorithms for multiple unmanned aerial vehicles (UAVs) using Game theory-based particle swarm optimization (GPSO). First, the formation path planning is formulated into the minimization of a cost function that incorporates multiple objectives and co...

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Veröffentlicht in:	IEEE access 2022, Vol.10, p.1-1
Hauptverfasser:	Nguyen, Lanh V., Phung, M.D., Ha, Q.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autonomous aerial vehicles Cooperative path planning Cost function Game theory Nash equilibrium Particle swarm optimization Path planning PSO Stackelberg-Nash game Task analysis UAV Unmanned aerial vehicles Working conditions
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