Simple Search:

A genetic algorithm for solving supply chain network design model


Citation

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).

Abstract / Synopsis

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.


Download File

[img]
Preview
PDF (Abstract)
A genetic algorithm for solving supply chain network design model.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1063/1.4823905
Publisher: AIP Publishing LLC
Keywords: Distribution network design; Genetic algorithm; Meta-heuristic algorithm; Supply chain management
Depositing User: Nabilah Mustapa
Date Deposited: 26 Sep 2017 11:42
Last Modified: 26 Sep 2017 11:42
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4823905
URI: http://psasir.upm.edu.my/id/eprint/57238
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item