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
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;
Conference_Titel :
Research and Development (SCOReD), 2010 IEEE Student Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-4244-8647-2
DOI :
10.1109/SCORED.2010.5704011
