%0 Journal Article
%T Robot path planning based on positive feedback adaptive genetic algorithm<br>基于正反馈自适应遗传算法的机器人路径滚动规划*
%A HU Xi-ling
%A GUO Hai-tao
%A <br>胡喜玲
%A 国海涛
%J 计算机应用研究
%D 2010
%I 
%X In order to improve the convergence speed of traditional genetic algorithm for path planninn of robot,presented a new robot path planning based on positive feedback adaptive genetic algorithm by integrating ant algorithm, simulated annealing algorithm,rolling planning and genetic algorithm.Computer experiment results demonstrate that the proposed algorithm can be used to solve the path planning for mobile robot even in the complex unknown environment, and achieve the successful obstacle avoidance.
%K path planning
%K genetic algorithm
%K rolling planning
%K adaptive<br>路径规划
%K 遗传算法
%K 滚动规划
%K 自适应
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=29779A41FADB699615B624D71DE19EAF&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=59C77779BF483289&eid=58B81DFDEA9E0531&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7