An Exploration of Evolutionary Algorithms for a Bi-Objective Competitive Facility Location Problem in Congested Systems

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZARRINPOOR NAEME

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: International Journal of Supply and Operations Management Year:2018 | Volume:5 | Issue:3 Page(s): 266-282

Download Full-Text

View:

188

Download:

Cites:

Information Journal Paper

Title

An Exploration of Evolutionary Algorithms for a Bi-Objective Competitive Facility Location Problem in Congested Systems

Author(s)

ZARRINPOOR NAEME | Issue Writer Certificate

Keywords

Competitive facility location

Congested system

Gravity function

Multi-objective harmony search

NSGA-II

Abstract

This paper presents a bi-objective Competitive facility location model for Congested systems in which the entering facilities compete with the competitors’ facilities for capturing the market share. In the proposed model, customers can choose which facility to patronize based on the Gravity function that depends on both the quality of service provider and the travel time to facilities. The proposed model attempts to simultaneously maximize the captured demand from each facility and minimize the total waiting time in the system. Two multi-objective evolutionary algorithms, involving a Multi-objective harmony search algorithm (MOHS) and a non-dominated sorting genetic algorithm-II (NSGA-II), are designed to solve the proposed model. The performance of solution procedures are compared on the basis of different performance metrics including generational distance, spacing metric, diversification metric, and number of non-dominated solution. The computational results based on different test problems show that in general MOHS outperforms NSGA-II.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

ZARRINPOOR, NAEME. (2018). An Exploration of Evolutionary Algorithms for a Bi-Objective Competitive Facility Location Problem in Congested Systems. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, 5(3), 266-282. SID. https://sid.ir/paper/350250/en

Vancouver: Copy

ZARRINPOOR NAEME. An Exploration of Evolutionary Algorithms for a Bi-Objective Competitive Facility Location Problem in Congested Systems. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT[Internet]. 2018;5(3):266-282. Available from: https://sid.ir/paper/350250/en

IEEE: Copy

NAEME ZARRINPOOR, “An Exploration of Evolutionary Algorithms for a Bi-Objective Competitive Facility Location Problem in Congested Systems,” INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, vol. 5, no. 3, pp. 266–282, 2018, [Online]. Available: https://sid.ir/paper/350250/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops