Application of the improved genetic algorithm in robot path planning

摘要：

　　In order to improve the algorithm efficiency, expand the scope of application, we study the mobile robot path planning technology based on improved genetic algorithm. In this paper, we design a new adaptive function, which contains the path length information, the collision penalty factor, and the path gap factor. Experimental results express that the method can search the optimal path between the starting point and the target point.

关键词： genetic algorithm mobile robot path planning

作者: Wang Rui Wang Jinguo Wang Na

作者单位: Department of Information Engineering,Jilin Business and Technology College China Department of Urology, the First Hospital of Jilin University,China Department of Anaesthesiology, the First Hospital of Jilin University, China

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 1081-1084

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）