A New Path Planning Method of Robot Based on Improved Adaptive Genetic Algorithms

被引：0
|
作者：
Li, Huaiqiang [1 ]
Shi, Mingxia [2 ]
机构：
[1] Henan Univ Econ & Law, Zhengzhou 450002, Peoples R China
[2] Henan Light Ind Training Coll, Zhengzhou 450002, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3 | 2013年 / 278-280卷
关键词：
robot; path planning; improved adaptive genetic algorithms;
D O I：
10.4028/www.scientific.net/AMM.278-280.590
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new method of robot path planning which is based on improved adaptive genetic algorithm. On the foundation of building the model in planning space by link-graph, we first gets the feasible paths by using Ford algorithms,and then adjusts the points of every path by using improved adaptive genetic algorithms to get the best or better path. The simulation experiment,shows the advancement of the method.
引用
收藏
页码：590 / +
页数：2
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