长春大学学报（自然科学版）2017，Vol.27Issue(2)：1-3,32,4.
基于遗传算法的机器人路径规划的仿真研究
Simulation Study of Robot Path Planning Based on Genetic Algorithm
雷艳敏 1王帅1
作者信息
- 1. 长春大学 电子信息工程学院,长春 130022
- 折叠
摘要
Abstract
In view of the problems in other traditional robot path planning algorithms (such as grid method, artificial potential field method and A* algorithm etc.), including that the search efficiency is low and it is easy to fall into local optimal solution, this paper presents a new genetic algorithm, which makes a genetic optimization by combining the shortest path, avoidance of collision (safety performance) and smoothness as a new fitness function, and allocates a certain weight for the three elements.Simulation results show that the proposed algorithm is more efficient and can obtain better path planning results.关键词
遗传算法/适应度函数/路径规划Key words
genetic algorithm/fitness function/path planning分类
信息技术与安全科学引用本文复制引用
雷艳敏,王帅..基于遗传算法的机器人路径规划的仿真研究[J].长春大学学报（自然科学版）,2017,27(2):1-3,32,4.
