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Path optimization using genetic algorithm evolution

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4 Author(s)
C. Y. Low ; Department of Electronic & Communication, College of Engineering, Universiti Tenaga Nasional (UNITEN), Jalan IKRAM-UNITEN, 43009 Kajang, Selangor Darul Ehsan, Malaysia ; K. H. Chong ; K. Salleh ; K. S. P. Johnny

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.

Published in:

Research and Development (SCOReD), 2010 IEEE Student Conference on

Date of Conference:

13-14 Dec. 2010