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在铁路场景中的多机器人任务分配研究基于改进的NSGA-II算法.

Yanni Shen1, Jianjun Meng1,2,3,4

  • 1School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究介绍了一种用于铁路维护机器人的新型混合算法,以优化任务分配,降低成本和提高智能铁路系统的效率. 新方法通过尽量减少完成时间和行程距离来提高运营性能.

关键词:
MOPSO MOPSO 的意思是在NSGA-II中,NSGA-II是最重要的.多目标优化多目标优化多机器人系统是多机器人系统.铁路多机器人的任务分配

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