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
关键词	path optimization mobile robot sine type adaptive genetic algorithm
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.
会议录	ADVANCED MANUFACTURING TECHNOLOGY AND SYSTEMS
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Engineering ; Materials Science
WOS记录号	WOS:000310242800034
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37065]
专题	机电工程学院
通讯作者	Hu Chibing
作者单位	Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R 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:.