Comparison of Meta-Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams)

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.

MOHAMMADREZAPOUR O.; Zeynali M. J.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Science Year:2018 | Volume:22 | Issue:1 Page(s): 291-303

Download Full-Text

Persian Verion

View:

477

Download:

Cites:

Information Journal Paper

Title

Comparison of Meta-Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams)

Author(s)

MOHAMMADREZAPOUR O. | Zeynali M. J. | Issue Writer Certificate

Keywords

Ant colony AlgorithmsQ1

Optimal OperationQ1

Multi –Reservoir SystemQ1

Particle Swarm AlgorithmQ1

Abstract

One of the most important issues in the field of optimizing water resources management is the optimal utilization of the dam reservoirs. In the recent decades, the Optimal Operation of dams has been one of the most interesting issues considered by water resources planners in the country. Due to the complexities of the typical optimization methods, employing an evolutionary algorithm is regarded here. One of the most significant algorithms is the ant colony algorithm. So the aim of this study is to optimize the delivery of Golestan and Voshmgir reservoirs to meet the needs of the down lands using the elite ant colony algorithm, maximum – minimum ants, ranked ants, and Particle Swarm Algorithms, and to compare the performance of these algorithms with each other. The considered decision variable was the release of the reservoirs in the above-mentioned dams. In this study, the data over a 5-year period, from 2006-2007 to 2011-2012, was used for modeling. The results showed that all algorithms could optimize the release amount optimally; however, the elite ant algorithm with the objective function value of 0. 6407 estimated the release values with great accuracy in both dams. Also, the Particle Swarm Algorithm with 1. 275 of the objective function value was wellmatched with the release values. The ranked ant algorithm with 18. 924 and Max-Min ant with 26. 431 of the objective function valuewere, respectively, at the next levels of performance optimization of the release values from Golestan and Voshgar dams.

Cites

No record.

References

No record.

Cite

APA: Copy

MOHAMMADREZAPOUR, O., & Zeynali, M. J.. (2018). Comparison of Meta-Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 22(1 ), 291-303. SID. https://sid.ir/paper/363116/en

Vancouver: Copy

MOHAMMADREZAPOUR O., Zeynali M. J.. Comparison of Meta-Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams). WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2018;22(1 ):291-303. Available from: https://sid.ir/paper/363116/en

IEEE: Copy

O. MOHAMMADREZAPOUR, and M. J. Zeynali, “Comparison of Meta-Heuristic Algorithms in the Optimal Operation of Multi – Reservoir (A Case Study: Golestan and Voshmgir Dams),” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 22, no. 1 , pp. 291–303, 2018, [Online]. Available: https://sid.ir/paper/363116/en

Related Journal Papers