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基于变参数萤火虫算法和Maklink图的路径规划研究

李明富 张玉彦 马建华 周友行

李明富, 张玉彦, 马建华, 周友行. 基于变参数萤火虫算法和Maklink图的路径规划研究[J]. 机械科学与技术, 2015, 34(11): 1728-1732. doi: 10.13433/j.cnki.1003-8728.2015.1116
引用本文: 李明富, 张玉彦, 马建华, 周友行. 基于变参数萤火虫算法和Maklink图的路径规划研究[J]. 机械科学与技术, 2015, 34(11): 1728-1732. doi: 10.13433/j.cnki.1003-8728.2015.1116
Li Mingfu, Zhang Yuyan, Ma Jianhua, Zhou Youhang. Research on Path Planning Based on Variable Parameters Firefly Algorithm and Maklink Graph[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(11): 1728-1732. doi: 10.13433/j.cnki.1003-8728.2015.1116
Citation: Li Mingfu, Zhang Yuyan, Ma Jianhua, Zhou Youhang. Research on Path Planning Based on Variable Parameters Firefly Algorithm and Maklink Graph[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(11): 1728-1732. doi: 10.13433/j.cnki.1003-8728.2015.1116

基于变参数萤火虫算法和Maklink图的路径规划研究

doi: 10.13433/j.cnki.1003-8728.2015.1116
基金项目: 

国家自然科学基金项目(51375419)与湖南省教育厅科研项目(12C0396)资助

详细信息
    作者简介:

    李明富(1979-),讲师,博士,硕士生导师,研究方向机械测试技术、智能机器人,limingfu2001@foxmail.com

Research on Path Planning Based on Variable Parameters Firefly Algorithm and Maklink Graph

  • 摘要: 针对静态二维环境下的全局路径规划问题,提出了一种基于变参数萤火虫算法和Maklink图的全局路径规划方法。将定参数的连续型萤火虫算法改进为变参数的离散型萤火虫算法;根据全局路径规划问题的特点,定义了变参数萤火虫算法的编码规则及萤火虫之间的距离表征方法;以含有多个任意形状障碍物的环境为例,在Maklink图的基础上采用变参数萤火虫算法对路径进行优化,改进后的萤火虫算法能够较好的解决离散路径规划问题。实验表明:变参数萤火虫算法的性能不仅优于标准萤火虫算法,而且在收敛速度、算法稳定性等方面优于粒子群算法。
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出版历程
  • 收稿日期:  2013-11-21
  • 刊出日期:  2015-11-05

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