MULTI-OBJECTIVE CAPACITATED FACILITY LOCATION WITH HYBRID FUZZY SIMPLEX AND GENETIC ALGORITHM APPROACH

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.

LOTFI R.; AMIN NAYERI M.

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

Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS) Year:2016 | Volume:7 | Issue:4 Page(s): 81-91

Download Full-Text

View:

234

Download:

Cites:

Information Journal Paper

Title

MULTI-OBJECTIVE CAPACITATED FACILITY LOCATION WITH HYBRID FUZZY SIMPLEX AND GENETIC ALGORITHM APPROACH

Author(s)

LOTFI R. | AMIN NAYERI M.

Keywords

MULTI-OBJECTIVE

FACILITY LOCATION WITH

CAPACITATED

FUZZY SIMPLEX

GENETIC ALGORITHM

Abstract

The standard model CAPACITATED facility location (CPLP / CWLP) to locate the facility on a network of customer demand until total cost of the allocation minimize. The purposes of this paper cover all the demands of specified number of facilities to reduce the cost. In this paper closer to the real world, parameters of model is fuzzy and objective function is multi objective at the same time the total establishment cost and travel time is minimized in accordance with the constraints. The innovation is combining hybrid FUZZY SIMPLEX with GENETIC ALGORITHM approach to accelerate near optimization process to change MULTI-OBJECTIVE to a single objective with LP metric. Simulated annealing algorithm also compared to reflect significant differences in performance and response time. Its application in locating facilities include warehouses, factories and services sector.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

LOTFI, R., & AMIN NAYERI, M.. (2016). MULTI-OBJECTIVE CAPACITATED FACILITY LOCATION WITH HYBRID FUZZY SIMPLEX AND GENETIC ALGORITHM APPROACH. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), 7(4), 81-91. SID. https://sid.ir/paper/687705/en

Vancouver: Copy

LOTFI R., AMIN NAYERI M.. MULTI-OBJECTIVE CAPACITATED FACILITY LOCATION WITH HYBRID FUZZY SIMPLEX AND GENETIC ALGORITHM APPROACH. JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS)[Internet]. 2016;7(4):81-91. Available from: https://sid.ir/paper/687705/en

IEEE: Copy

R. LOTFI, and M. AMIN NAYERI, “MULTI-OBJECTIVE CAPACITATED FACILITY LOCATION WITH HYBRID FUZZY SIMPLEX AND GENETIC ALGORITHM APPROACH,” JOURNAL OF INDUSTRIAL ENGINEERING RESEARCH IN PRODUCTION SYSTEMS (IERPS), vol. 7, no. 4, pp. 81–91, 2016, [Online]. Available: https://sid.ir/paper/687705/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops