Application of Improved Double Ant Colony Algorithm in The Robot Path Planning

被引：0
|
作者：
Bin, Ge [1 ]
Sheng, Houyuan [1 ]
机构：
[1] Dalian Univ, Dalian 116622, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS | 2016年 / 81卷
关键词：
double ant colony algorithm; mobile robot; path planning; combined optimization;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Traditional ant colony algorithm is applied to mobile robot path planning, existing to slowly solve, slowly convergence speed, easy to fall into local optimal. A kind of double ant colony optimization based on combined optimization is proposed. Forward ant searched path be combined with backward ant searched path when two groups of ants in current generation completed a path search. Then the new paths were sorted, selecting the better path for global pheromone updating, combining the thought of MAX-MIN ant colony algorithm. Simulation experiment shows the improved ant colony algorithm can well solve the problems of the traditional ant colony.
引用
收藏
页码：942 / 946
页数：5
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