A novel path planning algorithm for mobile robots based on cloud model

被引：0
|
作者：
Dai, Xuefeng [1 ]
Ning, Xiaomei [2 ]
Shi, Yan [3 ]
机构：
[1] College of Computer and Control Engineering, Qiqihar University, Qiqihaer City, Heilongjiang Province, 161006, China
[2] Modem Education Technology Centre, Qiqihar Medical College, Qiqihaer City, Heilongjiang Province, 161006, China
[3] School of Industrial Engineering, Tokai University, 9-1-1, Toroku, Kumamoto 862-8652, Japan
来源：
ICIC Express Letters | 2009年 / 3卷 / 04期
关键词：
Genetic algorithms - Cloud computing - Mobile robots - Robot programming;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Because traditional genetic algorithm has the phenomenon of prematureconvergence and can not guarantee the diversity of population in the processionof evolution, a noval path planning algorithm, for mobile robots in clutteredenvironments, is proposed in this paper. One-dimensional cloud operator usesevolution and mutation in this algorithm, it uses the previous search results atthe same time. Simulation data proves it can improve efficiency of pathplanning. ICIC International © 2009.
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页码：877 / 881
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