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Updated: May 3, 2026

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MSCSO:一个修改的沙猫群算法,用于在复杂的环境中进行3D无人机路径规划,并应对多种威胁

Zhengsheng Zhan1, Dangyue Lai1, Canjian Huang1

  • 1School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括

经过修改的沙猫群优化 (MSCSO) 算法可以在复杂的3D环境中增强无人机路径规划. 这种改进的算法实现了更快的融合,减少了碰撞风险,并提高了自动驾驶系统的效率.

关键词:
莱维飞行长步扰动无人机路径规划 无人机路径规划混乱的地图绘制.精英突变机制的突变机制非线性粒子小群优化重量优化沙猫群群的优化 沙猫群的优化

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