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- W4288425101 abstract "Aiming at the real-time task allocation of unmanned aerial vehicle (UAV) clusters, a particle swarm optimization algorithm (DA-PSO) based on distributed auction mechanism is proposed. The simulation results show that the solution obtained by the application not only fully meets the requirements of the UAV swarm against real-time target allocation, but also has better convergence and better allocation effect than the traditional particle swarm optimization algorithm and other swarm intelligence algorithms. In addition, we also explored the Pareto optimal solution of the algorithm in this paper when solving multi-objective constrained optimization problems, and verified the optimality and efficiency of the algorithm by analyzing the distribution of the solution set points on the Pareto frontier." @default.
- W4288425101 created "2022-07-29" @default.
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- W4288425101 date "2022-07-29" @default.
- W4288425101 modified "2023-09-27" @default.
- W4288425101 title "Research on Real-Time Target Assignment of UAV Swarm Based on DA-PSO Algorithm" @default.
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- W4288425101 doi "https://doi.org/10.1007/978-981-19-3998-3_162" @default.
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