Supplementary Web-page for Manuscript:

Multi-objective Uncapacitated Facility Location Problem with Customers' Preferences: Pareto-based and Weighted Sum GA-based Approaches

Soumen Atta¹, Priya Ranjan Sinha Mahapatra¹, Anirban Mukhopadhyay^1,☆

¹Department of Computer Science and Engineering, University of Kalyani, Kalyani-741235, West Bengal, India

^☆Corresponding author: anirban@klyuniv.ac.in

Citation (BibTeX)

@article{atta2019multi,
  title={Multi-objective uncapacitated facility location problem with customers’ preferences: Pareto-based and weighted sum GA-based approaches},
  author={Atta, Soumen and Sinha Mahapatra, Priya Ranjan and Mukhopadhyay, Anirban},
  journal={Soft Computing},
  volume={23},
  pages={12347--12362},
  year={2019},
  publisher={Springer},
  doi={10.1007/s00500-019-03774-1},
  url={https://doi.org/10.1007/s00500-019-03774-1} 
}

@dataset{atta2018mouflpcpdata,
  author       = {Atta, Soumen and Sinha Mahapatra, Priya Ranjan and Mukhopadhyay, Anirban},
  title        = {Dataset for the Multi-objective Uncapacitated Facility Location Problem with Customers' Preferences (MOUFLPCP)},
  year         = {2018},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.15243382},
  url          = {https://doi.org/10.5281/zenodo.15243382}
}

The instances for the Multi-objective Uncapacitated Facility Location Problem with Customers' Preferences (MOUFLPCP) mentioned in this page are adapted from the Uncapacitated Facility Location Problem (UFLP) [1, 2] and the original instances of UFLP can be found from Beasley's OR Library [3]. Each instance of MOUFLPCP consists of two matrices, viz., service cost matrix and preference matrix, and a set defining the opening cost of each facility.

Format of the data files:
Each instance mouflpcp# of size n × m consists of two data files, namely, "cap#.txt" and "cap#pref.txt". The size of the file "cap#.txt" is n × (m+1) and it consists of service cost matrix of size n × m and the last column of it represents the opening cost. The size of the file "cap#pref.txt" is n × m and it consists of preference matrix.

Click here to download all the instances of MOUFLPCP as single zip file.

References:
[1] Drezner Z, Hamacher HW (2001) Facility location: applications and theory. Springer Science & Business Media.
[2] Al-Sultan K, Al-Fawzan M (1999) A tabu search approach to the uncapacitated facility location problem. Annals of Operations Research 86:91–103.
[3] Beasley JE (1990) OR-Library: distributing test problems by electronic mail. Journal of the Operational Research Society pp 1069–1072.

This page is maintained by Dr. Soumen Atta, Ph.D..
This page was created on April 1, 2018.