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A genetic algorithm for solving supply chain network design model

Network design is by nature costly and optimization models play significant role in reducing the unnecessary cost components of a distribution network. This study proposes a genetic algorithm to solve a distribution network design model. The structure of the chromosome in the proposed algorithm is d...

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Main Authors: Firoozi, Zahra, Ismail, Napsiah, Ariafar, Shahram, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing LLC 2013
Online Access:http://psasir.upm.edu.my/id/eprint/57238/1/A%20genetic%20algorithm%20for%20solving%20supply%20chain%20network%20design%20model.pdf
http://psasir.upm.edu.my/id/eprint/57238/
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spelling my.upm.eprints.572382017-09-26T03:42:47Z http://psasir.upm.edu.my/id/eprint/57238/ A genetic algorithm for solving supply chain network design model Firoozi, Zahra Ismail, Napsiah Ariafar, Shahram Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar Network design is by nature costly and optimization models play significant role in reducing the unnecessary cost components of a distribution network. This study proposes a genetic algorithm to solve a distribution network design model. The structure of the chromosome in the proposed algorithm is defined in a novel way that in addition to producing feasible solutions, it also reduces the computational complexity of the algorithm. Computational results are presented to show the algorithm performance. AIP Publishing LLC 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57238/1/A%20genetic%20algorithm%20for%20solving%20supply%20chain%20network%20design%20model.pdf Firoozi, Zahra and Ismail, Napsiah and Ariafar, Shahram and Tang, Sai Hong and Mohd Ariffin, Mohd Khairol Anuar (2013) A genetic algorithm for solving supply chain network design model. In: International Conference on Mathematical Sciences and Statistics 2013 (ICMSS2013), 5-7 Feb. 2013, Kuala Lumpur, Malaysia. (pp. 211-214). 10.1063/1.4823905
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Network design is by nature costly and optimization models play significant role in reducing the unnecessary cost components of a distribution network. This study proposes a genetic algorithm to solve a distribution network design model. The structure of the chromosome in the proposed algorithm is defined in a novel way that in addition to producing feasible solutions, it also reduces the computational complexity of the algorithm. Computational results are presented to show the algorithm performance.
format Conference or Workshop Item
author Firoozi, Zahra
Ismail, Napsiah
Ariafar, Shahram
Tang, Sai Hong
Mohd Ariffin, Mohd Khairol Anuar
spellingShingle Firoozi, Zahra
Ismail, Napsiah
Ariafar, Shahram
Tang, Sai Hong
Mohd Ariffin, Mohd Khairol Anuar
A genetic algorithm for solving supply chain network design model
author_facet Firoozi, Zahra
Ismail, Napsiah
Ariafar, Shahram
Tang, Sai Hong
Mohd Ariffin, Mohd Khairol Anuar
author_sort Firoozi, Zahra
title A genetic algorithm for solving supply chain network design model
title_short A genetic algorithm for solving supply chain network design model
title_full A genetic algorithm for solving supply chain network design model
title_fullStr A genetic algorithm for solving supply chain network design model
title_full_unstemmed A genetic algorithm for solving supply chain network design model
title_sort genetic algorithm for solving supply chain network design model
publisher AIP Publishing LLC
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/57238/1/A%20genetic%20algorithm%20for%20solving%20supply%20chain%20network%20design%20model.pdf
http://psasir.upm.edu.my/id/eprint/57238/
_version_ 1643836427471945728
score 13.160551

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