Integrating Rough Set in Evolution Agorithm for Path Planning of Mobile Robots

摘要：

　　In order to improve the robot path planning speed and accuracy,this paper combined cloud theory and rough sets in path planning.First initial path group can be gained by using rough set training,then a series of feasible path group can drawn by the minimum decision rule training,finally the population based on cloud model optimization can also gained and further the best route can be acquired.The simulation results verified the effectiveness of the proposed algorithm.

关键词： Cloud model Rough sets Robot path planning

作者: Jiwei Yan

作者单位: Assets Management Department,Qiqihar Medical University,Qiqihar 161006,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 873-876

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）