Path optimization for mobile robot based on the sine type adaptive genetic algorithm

doi:10.4028/www.scientific.net/AMM.159.181

IR > 机电工程学院

	Path optimization for mobile robot based on the sine type adaptive genetic algorithm
	Zhao, Jiali; Hu, Chibing; Feng, Wuyang; Yang, Ningdu
	2012
会议名称	2012 International Conference on Advanced Manufacturing Technology and Systems, AMTS 2012
会议录名称	Applied Mechanics and Materials
卷号	159
页码	181-185
会议日期	April 17, 2012 - April 17, 2012
会议地点	Wuhan, China
出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
摘要	The improved adaptive genetic algorithm has been presented to overcome the premature convergence problem of traditional genetic algorithm and obtain the genetic operator having adaptability at any time. Then, the location in the working space has been setted by the serial number method, and the mathematical model has been established for the picking operation of mobile robot. Finally, the sine type adaptive genetic algorithm has been adopted to improve the initial path and get the optimal solution. In addition, a simulation has been conducted by the Matlab Genetic Algorithms Box to show that this algorithm is more quickly and efficiently for the path optimization of mobile robot. © (2012) Trans Tech Publications.
关键词	Manufacture Mathematical models MATLAB Mobile robots Optimization Adaptive genetic algorithms Genetic operators Optimal solutions Path optimizations Premature convergence Serial number Sine type Working space
DOI	10.4028/www.scientific.net/AMM.159.181
收录类别	EI
语种	英语
EI入藏号	20121414916516
EI主题词	Genetic algorithms
ISSN	16609336
来源库	Compendex
分类代码	537.1 Heat Treatment Processes - 731.5 Robotics - 921 Mathematics - 921.5 Optimization Techniques
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/115927
专题	机电工程学院
作者单位	School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhao, Jiali,Hu, Chibing,Feng, Wuyang,et al. Path optimization for mobile robot based on the sine type adaptive genetic algorithm[C]:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2012:181-185.