UPM Institutional Repository

A genetic algorithm for solving supply chain network design model


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).


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

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 03:42
Last Modified: 26 Sep 2017 03:42
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