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

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

CORC > 兰州理工大学 > 兰州理工大学 > 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
会议日期	April 17, 2012 - April 17, 2012
会议地点	Wuhan, China
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
卷号	159
DOI	10.4028/www.scientific.net/AMM.159.181
页码	181-185
英文摘要	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.
会议录	Applied Mechanics and Materials
会议录出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种	英语
ISSN号	16609336
内容类型	会议论文
源URL	[http://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
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]. 见:. Wuhan, China. April 17, 2012 - April 17, 2012.