摘要
本文主要结合蚁群算法对机器人路径规划进行了系统的研究。针对蚂蚁在搜索路径过程中落入障碍物陷阱而造成算法停滞的现象,提出了蚂蚁系统回退策略。为了检验改进型算法的性能,基于MATLAB软件设计了仿真程序。仿真结果表明:对基本蚁群算法的改进,提高了算法的有效性和鲁棒性,增强了蚁群算法在机器人路径规划中的适应能力。
The paper mainly combined ant colony algorithm to carry on the research of system to the robot path programming.Aiming at the phenomenon of ant declines in the process of searching path into stumbling block trap and resulting in the calculate way be held up,the paper proposes into ant system back strategy.To examine the capability of improvement strategies,it designs a simulation based on MATLAB.The result shows that the improvement strategies to ACA raises the validity and robustness of the algorithm.And it also strengthens the orientation ability of ACA robot path planning.
出处
《自动化技术与应用》
2011年第7期1-4,共4页
Techniques of Automation and Applications
关键词
机器人
路径规划
蚁群算法
回退策略
detecting robot
path planning
ant colony algorithm
return back strategy
