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- W3173562842 abstract "This paper presents an autonomous cooperative search algorithm for distributed micro unmanned aerial vehicles (UAVs), The probability model of the search graph is established by bayesian theory, and the search problem is transformed into the optimization problem of the cost function. In order to avoid a large number of UAVs gathering in the same place at the same time. We introduce the region density value as one of the optimization objectives. The purpose is to make the UAV swarm move to undeveloped areas and we use a particle swarm optimization algorithm to solve this model. The simulation shows that the algorithm effectively prevents clustering when the UAV cluster is large, so this algorithm can improve the search efficiency of UAV swarm." @default.
- W3173562842 created "2021-07-05" @default.
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- W3173562842 date "2021-04-23" @default.
- W3173562842 modified "2023-10-01" @default.
- W3173562842 title "A Cooperative Search Algorithm Based on Improved Particle Swarm Optimization Decision for UAV Swarm" @default.
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- W3173562842 doi "https://doi.org/10.1109/icccs52626.2021.9449283" @default.
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