Robust optimization approach in a competitive vehicle routing problem in an uncertain condition by using improved differential evolution

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.

SALAMAT BAKHSH ALIREZA; TAVAKKOLI MOGHADDAM REZA; ALINAGHIAN MEHDI; NAJAFI ESMAEEL

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

Journal Paper

Paper Information

Journal: Journal of Transportation Engineering Year:2019 | Volume:10 | Issue:4 (41) Page(s): 887-908

Download Full-Text

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

Persian Verion

View:

766

Download:

Cites:

Information Journal Paper

Title

Robust optimization approach in a competitive vehicle routing problem in an uncertain condition by using improved differential evolution

Author(s)

SALAMAT BAKHSH ALIREZA | TAVAKKOLI MOGHADDAM REZA | ALINAGHIAN MEHDI | NAJAFI ESMAEEL | Issue Writer Certificate

Keywords

vehicle routing problemQ1

UncertaintyQ1

robust optimizationQ1

Competitive environmentQ1

Differential evolution algorithmQ1

Abstract

A vehicle routing problem (VRP) is an important issue that has attracted great attention of researchers in recent years. This paper presents a competitive VRP to get short routes with the maximum sale by providing suitable services to customers before delivering the goods to other competitive distributors. To distribute the goods with a short lifetime, in which customers need a special device for keeping them, the arriving time to customers effects on a number of sales, in which classical VRPs are unable to calculate these kinds of assumptions. According to the real world, the arriving time of the competitors is uncertain because of customer demands, traffic, weather conditions, etc. A scenario-based approach is used to handle the Uncertainty of the arriving time of rivals. The purpose of this paper is to solve this problem by optimizing the sale of products to customers before delivering the products to other competitor distributors in an uncertain condition by robust optimization. To evaluate the performance of the presented model, the improved differential evolution (IDE) algorithm is used. The related results in small and medium-sized problems are compared with the result obtained by an exact solution method. Additionally, in order to evaluate the performance of the proposed IDE algorithm, a few sample tests in large sizes are solved and their results are compared with other two Differential evolution algorithms. The results show that the proposed IDE algorithm has a suitable accuracy and performance for solving the presented model.

Cites

No record.

References

No record.

Cite

APA: Copy

SALAMAT BAKHSH, ALIREZA, TAVAKKOLI MOGHADDAM, REZA, ALINAGHIAN, MEHDI, & NAJAFI, ESMAEEL. (2019). Robust optimization approach in a competitive vehicle routing problem in an uncertain condition by using improved differential evolution. JOURNAL OF TRANSPORTATION ENGINEERING, 10(4 (41) ), 887-908. SID. https://sid.ir/paper/223874/en

Vancouver: Copy

SALAMAT BAKHSH ALIREZA, TAVAKKOLI MOGHADDAM REZA, ALINAGHIAN MEHDI, NAJAFI ESMAEEL. Robust optimization approach in a competitive vehicle routing problem in an uncertain condition by using improved differential evolution. JOURNAL OF TRANSPORTATION ENGINEERING[Internet]. 2019;10(4 (41) ):887-908. Available from: https://sid.ir/paper/223874/en

IEEE: Copy

ALIREZA SALAMAT BAKHSH, REZA TAVAKKOLI MOGHADDAM, MEHDI ALINAGHIAN, and ESMAEEL NAJAFI, “Robust optimization approach in a competitive vehicle routing problem in an uncertain condition by using improved differential evolution,” JOURNAL OF TRANSPORTATION ENGINEERING, vol. 10, no. 4 (41) , pp. 887–908, 2019, [Online]. Available: https://sid.ir/paper/223874/en

Related Journal Papers