Application of the improved genetic algorithm in robot path planning

被引：0
|
作者：
Wang Rui [1 ]
Wang Jinguo [2 ]
Wang Na [3 ]
机构：
[1] Jilin Business & Technol Coll, Dept Informat Engn, Changchun, Peoples R China
[2] Jilin Univ, Dept Urol, Hosp 1, Changchun, Peoples R China
[3] Jilin Univ, Dept Anaesthesiol, Hosp 1, Changchun, Peoples R China
来源：
PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015) | 2015年 / 10卷
关键词：
genetic algorithm; mobile robot; path planning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the algorithm efficiency, expand the scope of application, we study the mobile robot path planning technology based on improved genetic algorithm. In this paper, we design a new adaptive function, which contains the path length information, the collision penalty factor, and the path gap factor. Experimental results express that the method can search the optimal path between the starting point and the target point.
引用
收藏
页码：1081 / 1084
页数：4
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