Solving a Fuzzy Fixed-Charge Transportation Problem by Meta-Heuristics with a New Encoding Scheme

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.

SHABANI A.; TAVAKKOLI MOGHADDAM R.; HAJIAGHAEI KESHTELI M.

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

Journal Paper

Paper Information

Journal: Journal of Operational Research in its Applications Year:2019 | Volume:15 | Issue:4 (59) Page(s): 15-35

Download Full-Text

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

Persian Verion

View:

1,019

Download:

Cites:

Information Journal Paper

Title

Solving a Fuzzy Fixed-Charge Transportation Problem by Meta-Heuristics with a New Encoding Scheme

Author(s)

SHABANI A. | TAVAKKOLI MOGHADDAM R. | HAJIAGHAEI KESHTELI M. | Issue Writer Certificate

Keywords

Fixed-Charge TransportationQ1

Meta-HeuristicsQ1

Fuzzy EnvironmentQ1

Taguchi Experimental DesignQ1

Abstract

A transportation problem is one of the most important issues in a supply chain, and one of its branches is a Fixed-Charge Transportation problem (FCTP). The FCTP is an NP-problem and can be formulated as an integer programming model and solved. The purpose of this paper is to develop an effective and efficient method to solve this problem. Therefore, at first, this problem will be formulated by integer programming. Then, for solving this problem, various algorithms such as genetic algorithm, simulated annealing and firefly are used. A new solution presentation for the proposed algorithm is presented. By using these algorithms having the good performance such as time calculations, memory required for calculations, and the ability to find global optimal solution when you get a computer, several examples have been solved. In fact, initially, by using the Taguchi Experimental Design, parameters in algorithms are adjusted and set the best option for each of the determined parameters, and then the algorithm performance is examined. Finally, to make comparisons between the three proposed algorithms, several test problems in small and large sizes are produced. It is concluded that the objective function value and computational time in the genetic algorithm is less in order to obtain a near-optimal solution.

Cites

No record.

References

No record.

Cite

APA: Copy

SHABANI, A., TAVAKKOLI MOGHADDAM, R., & HAJIAGHAEI KESHTELI, M.. (2019). Solving a Fuzzy Fixed-Charge Transportation Problem by Meta-Heuristics with a New Encoding Scheme. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 15(4 (59) ), 15-35. SID. https://sid.ir/paper/164492/en

Vancouver: Copy

SHABANI A., TAVAKKOLI MOGHADDAM R., HAJIAGHAEI KESHTELI M.. Solving a Fuzzy Fixed-Charge Transportation Problem by Meta-Heuristics with a New Encoding Scheme. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2019;15(4 (59) ):15-35. Available from: https://sid.ir/paper/164492/en

IEEE: Copy

A. SHABANI, R. TAVAKKOLI MOGHADDAM, and M. HAJIAGHAEI KESHTELI, “Solving a Fuzzy Fixed-Charge Transportation Problem by Meta-Heuristics with a New Encoding Scheme,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 15, no. 4 (59) , pp. 15–35, 2019, [Online]. Available: https://sid.ir/paper/164492/en

Related Journal Papers