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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing LLC
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57238/1/A%20genetic%20algorithm%20for%20solving%20supply%20chain%20network%20design%20model.pdf |
| _version_ | 1825931572939849728 |
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| author | Firoozi, Zahra Ismail, Napsiah Ariafar, Shahram Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar |
| author_facet | Firoozi, Zahra Ismail, Napsiah Ariafar, Shahram Tang, Sai Hong Mohd Ariffin, Mohd Khairol Anuar |
| author_sort | Firoozi, Zahra |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T09:28:47Z |
| format | Conference or Workshop Item |
| id | upm.eprints-57238 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:28:47Z |
| publishDate | 2013 |
| publisher | AIP Publishing LLC |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | A genetic algorithm for solving supply chain network design model |
| title_sort | genetic algorithm for solving supply chain network design model |
| url | http://psasir.upm.edu.my/id/eprint/57238/1/A%20genetic%20algorithm%20for%20solving%20supply%20chain%20network%20design%20model.pdf |
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