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Updated: Jun 6, 2025

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一种基于K-Means++算法和粒子群算法的协同作用的多机器人任务分配方法.

Youdong Yuan1, Ping Yang1, Hanbing Jiang1

  • 1School of Electromechanical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.

Biomimetics (Basel, Switzerland)
|November 26, 2024
PubMed
概括

本研究介绍了一种新的多机器人任务分配方法,该方法结合了K-means++和粒子群优化 (PSO). 增强方法通过优化任务分配和订单来提高合作机器人的效率.

关键词:
K-意味着++ 聚类.多机器人的多机器人粒子群算法 粒子群算法任务分配 任务分配

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