DocumentCode
2381844
Title
Path optimization using genetic algorithm evolution
Author
Low, C.Y. ; Hong, K.H. ; Salleh, K. ; Johnny, K.S.P.
Author_Institution
Dept. of Electron. & Commun., Univ. Tenaga Nasional (UNITEN), Kajang, Malaysia
fYear
2010
fDate
13-14 Dec. 2010
Firstpage
252
Lastpage
255
Abstract
Gantry robots are widely used in the industries for various material handling applications. The robot capable of moving in the Cartesian makes it very flexible and efficient at big or small areas. Path optimization to the robot would make it more efficient and easier automation. In this paper, genetic algorithm (GA) has been proposed to optimize the traveling sequence making the movement more efficient and economic as the total travel length is shortened.
Keywords
genetic algorithms; industrial robots; path planning; automation; cartesian robots; flexible robots; gantry robots; genetic algorithm; industrial robots; path optimization; total travel length; traveling sequence; GA; cartesian robots; gantry robots; genetic algorithm; path optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Research and Development (SCOReD), 2010 IEEE Student Conference on
Conference_Location
Putrajaya
Print_ISBN
978-1-4244-8647-2
Type
conf
DOI
10.1109/SCORED.2010.5704011
Filename
5704011
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