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Conflict-free automated guided vehicles routing using multi-objective genetic algorithm

The study presents an algorithm for conflict-free Automated Guided Vehicle (AGV) routing minimizing travel time and total job tardiness. The problem is represented using one sub-chromosome for dispatching represented with random keys and the remaining sub-chromosomes for routing represented with pri...

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Bibliographic Details
Main Authors: Umar, Ali Umar, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah, Tang, Sai Hong
Format: Article
Language:English
Published: Maxwell Science Publication 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/28710/
http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=342&abs=29
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http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/28710/
http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=342&abs=29

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