Path optimization using genetic algorithm evolution

Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/5828

Title:	Path optimization using genetic algorithm evolution
Authors:	Low, C.Y. Chong, K.H. Salleh, K. Johnny, K.S.P.
Issue Date:	2010
Journal:	Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 2010, Article number 5704011, Pages 252-255
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. ©2010 IEEE.
URI:	http://dspace.uniten.edu.my/jspui/handle/123456789/7016
DOI:	10.1109/SCORED.2010.5704011
Appears in Collections:	COE Scholarly Publication

Check