A Novel Algorithm for Path Planning of Mobile Robots in Dynamic Environment

被引：0
|
作者：
Ning, Xiaomei [1 ]
Ma, Zhanchun [2 ]
Guo, Li [3 ]
机构：
[1] Qiqihar Med Coll, Modem Educ Technol Ctr, Qiqihar City 161006, Heilongjiang, Peoples R China
[2] Qiqihar univ, Sch Sci, Qiqihar City 161006, Heilongjiang, Peoples R China
[3] Qiqihar Teach Coll, Comp Dept, Qiqihar City 161006, Heilongjiang, Peoples R China
来源：
SMART MATERIALS AND NANOTECHNOLOGY IN ENGINEERING | 2012年 / 345卷
关键词：
evolutionary algorithms; cloud model; path planning; dynamic environment;
D O I：
10.4028/www.scientific.net/AMR.345.370
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Aimed to accuracy and convergence of Evolutionary Algorithms for path planning of robots in dynamic environment, this paper integrated cloud model into evolutionary algorithm to improved evolutionary operators. One-dimensional cloud operator was used evolution and mutation, at the same time the previous search results were used. Simulation results show that the method is effective in performance.
引用
收藏
页码：370 / +
页数：2
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