文献类型：会议论文

英文题名：A New Path Planning Method of Robot Based on Improved Adaptive Genetic Algorithms

作者：Li, Huaiqiang[1];Shi, Mingxia[2]

第一作者：李怀强

通讯作者：Li, HQ[1]

机构：[1]Henan Univ Econ & Law, Zhengzhou 450002, Peoples R China;[2]Henan Light Ind Training Coll, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Zhengzhou 450002, Peoples R China.|[10484]河南财经政法大学;

会议论文集：International Conference on Mechatronics and Control Engineering (ICMCE 2012)

会议日期：NOV 29-30, 2012

会议地点：Guangzhou, PEOPLES R CHINA

语种：英文

外文关键词：robot; path planning; improved adaptive genetic algorithms

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.