计算技术与自动化Issue(2)：24-27,4.
基于改进遗传算法的机器人路径规划与仿真
ROBOT Route Planning and Simulation Based on Improved Genetic Algorithm
李刚 1鱼佳欣 1郭道通 1邹杨1
作者信息
- 1. 中国洛阳电子信息试验中心 河南济源459000
- 折叠
摘要
Abstract
In order to improve the survivability of robot,and to overcome the poor ability at local searching precision and stabilization of the simple genetic algorithm,this paper proposed an improved genetic algorithm about route planning.The route was denoted by one-dimension coding,and the obj ective function and the fitness function of the route planning problem were constructed.It adopted multi-population to broaden search scope,and chose best for better efficiency.The simulation results show that the improved genetic algorithm has higher efficiency and stabilization than simple genetic algorithm,and it can also gain smooth and low cost route.关键词
机器人/路径规划/改进遗传算法Key words
robot/route planning/improved genetic algorithm分类
信息技术与安全科学引用本文复制引用
李刚,鱼佳欣,郭道通,邹杨..基于改进遗传算法的机器人路径规划与仿真[J].计算技术与自动化,2015,(2):24-27,4.
