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Updated: Feb 28, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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在协作多集群系统中用于任务集群的元启发式优化算法

Meixuan Li1, Yongping Hao1, Hui Zhang1

  • 1School of Equipment Engineering, Shenyang Ligong University, Shenyang 110159, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究介绍了一种新的双原型元启发式K-Means (DPM-Kmeans) 算法,用于无人机 (UAV) 群任务分组. DPM-Kmeans提高了3D环境中的集群精度和效率.

关键词:
K-意味着K的意思是K.无人驾驶飞行器 (UAV) 的小群在袭击.以meta为灵感的优化算法任务分组 任务分组 任务分组三维的战斗空间

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