Integrating Cloud Model in Evolutionary Algorithm for Path Planning of Mobile Robots

摘要：

Evolutionary algorithms (EA) have been used to solve path planning of mobile robots successfully. However, accuracy and convergence are always topics. The cloud model which transforms qualitative concept into quantitative description, and vice versa, is adept in uncertainty modeling. It can be used in EA for evolving in a uniform and natural way. An EA embedded with cloud model (EACM) for path planning of mobile robots was proposed in this paper. The algorithm adopted floating-point coding and realized fast converging. Simulation results verified the efficiency of our algorithm.

关键词： Evolutionary algorithms Cloud model Path planning Mobile robots

作者: Xuefeng Dai Xiaomei Ning Zhifeng Yao Hongbo Shao

作者单位: College of Computer and Control Engineering Qiqihar University Qiqihar,Heilongjiang Province,161006, Modem Education Technology Centre Qiqihar Medical College Qiqihar,Heilongjiang Province,161006,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）