韩颜, 于淼. 粒子群算法在机器人路径规划中应用的综述[J]. 制造技术与机床, 2024, (7): 85-90. DOI: 10.19287/j.mtmt.1005-2402.2024.07.012
引用本文: 韩颜, 于淼. 粒子群算法在机器人路径规划中应用的综述[J]. 制造技术与机床, 2024, (7): 85-90. DOI: 10.19287/j.mtmt.1005-2402.2024.07.012
HAN Yan, YU Miao. A review on application of particle swarm optimization in path planning of mobile robot[J]. Manufacturing Technology & Machine Tool, 2024, (7): 85-90. DOI: 10.19287/j.mtmt.1005-2402.2024.07.012
Citation: HAN Yan, YU Miao. A review on application of particle swarm optimization in path planning of mobile robot[J]. Manufacturing Technology & Machine Tool, 2024, (7): 85-90. DOI: 10.19287/j.mtmt.1005-2402.2024.07.012

粒子群算法在机器人路径规划中应用的综述

A review on application of particle swarm optimization in path planning of mobile robot

  • 摘要: 粒子群算法是机器人路径规划中常用的一种算法,所使用的优化方法将直接影响机器人工作效率。文章针对粒子群算法的优化应用,从基于粒子群分群、粒子群初始化的改进、粒子群算法参数优化以及粒子群融合算法等方面分类论述。最后,结合粒子群算法在机器人路径规划中的应用情况进行总结与展望。

     

    Abstract: Particle swarm optimization is a commonly used algorithm in robot path planning, the optimization method used will directly affect the robot's work efficiency. Aiming at the optimization application of particle swarm optimization algorithm, this paper discusses the classification based on particle swarm clustering, particle swarm initialization improvement, parameter optimization and fusion algorithm. Finally, the application of particle swarm optimization in robot path planning is summarized and prospected.

     

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