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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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/
http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf
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author Umar, Ali Umar
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Napsiah
Tang, Sai Hong
author_facet Umar, Ali Umar
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Napsiah
Tang, Sai Hong
author_sort Umar, Ali Umar
building UPM Institutional Repository
collection Online Access
description 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 priority-based encoding. The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) for priority-based representation and parameterized uniform crossover (PUX) for random-key based representation. Conflict is detected and avoided using the route occupation time of each segment. Numerical experiment was conducted on the developed algorithm.
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institution Universiti Putra Malaysia
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language English
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publishDate 2013
publisher Maxwell Science Publication
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spelling upm-287102015-10-06T01:22:02Z http://psasir.upm.edu.my/id/eprint/28710/ Conflict-free automated guided vehicles routing using multi-objective genetic algorithm Umar, Ali Umar Mohd Ariffin, Mohd Khairol Anuar Ismail, Napsiah Tang, Sai Hong 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 priority-based encoding. The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) for priority-based representation and parameterized uniform crossover (PUX) for random-key based representation. Conflict is detected and avoided using the route occupation time of each segment. Numerical experiment was conducted on the developed algorithm. Maxwell Science Publication 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf Umar, Ali Umar and Mohd Ariffin, Mohd Khairol Anuar and Ismail, Napsiah and Tang, Sai Hong (2013) Conflict-free automated guided vehicles routing using multi-objective genetic algorithm. Research Journal of Applied Sciences, Engineering and Technology, 6 (14). pp. 2681-2684. ISSN 2040-7459; ESSN: 2040-7467 http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=342&abs=29
spellingShingle Umar, Ali Umar
Mohd Ariffin, Mohd Khairol Anuar
Ismail, Napsiah
Tang, Sai Hong
Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title_full Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title_fullStr Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title_full_unstemmed Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title_short Conflict-free automated guided vehicles routing using multi-objective genetic algorithm
title_sort conflict-free automated guided vehicles routing using multi-objective genetic algorithm
url http://psasir.upm.edu.my/id/eprint/28710/
http://psasir.upm.edu.my/id/eprint/28710/
http://psasir.upm.edu.my/id/eprint/28710/1/Conflict-free%20automated%20guided%20vehicles%20routing%20using%20multi-objective%20genetic%20algorithm.pdf