COMPARISON OF HEURISTIC METHODS APPLIED FOR OPTIMAL OPERATION OF WATER RESOURCES

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.

BORHANI DARIAN A.R.; MORTAZAVI NAEINI S.M.

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

Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2009 | Volume:19 | Issue:4 (68) Page(s): 57-66

Download Full-Text

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

Persian Verion

View:

1,189

Download:

Cites:

Information Journal Paper

Title

COMPARISON OF HEURISTIC METHODS APPLIED FOR OPTIMAL OPERATION OF WATER RESOURCES

Author(s)

BORHANI DARIAN A.R. | MORTAZAVI NAEINI S.M. | Issue Writer Certificate

Keywords

OPTIMIZATIONQ2

OPERATIONQ3

GENETIC ALGORITHMQ2

ANT COLONY OPTIMIZATIONQ2

DYNAMIC PROGRAMMINGQ3

Abstract

Water resources OPTIMIZATION problems are usually complex and hard to solve using the ordinary OPTIMIZATION methods, or they are at least not economically efficient. A great number of studies have been conducted in quest of suitable methods capable of handling such problems. In recent years, some new heuristic methods such as genetic and ant algorithms have been introduced in systems engineering. Preliminary applications of these methods in water resources problems have shown that some of them are powerful tools, capable of solving complex problems. In this paper, the application of such heuristic methods as GENETIC ALGORITHM (GA) and Ant Colony OPTIMIZATION (ACO) have been studied for optimizing reservoir OPERATION. The Dez Dam reservoir in Iran was chosen for a case study. The methods were applied and compared using short-term (one year) and long-term models. Comparison of the results showed that GA outperforms both DP and ACO in finding true global optimum solutions and operating rules.

Cites

AN APPLICATION OF THE CUCKOO OPTIMIZATION ALGORITHM IN THE OPTIMAL OPERATION OF HYDROPOWER RESERVOIR (CASE STUDY: THE KARUN4 RESERVOIR)

References

No record.

Cite

APA: Copy

BORHANI DARIAN, A.R., & MORTAZAVI NAEINI, S.M.. (2009). COMPARISON OF HEURISTIC METHODS APPLIED FOR OPTIMAL OPERATION OF WATER RESOURCES. WATER AND WASTEWATER, 19(4 (68)), 57-66. SID. https://sid.ir/paper/103492/en

Vancouver: Copy

BORHANI DARIAN A.R., MORTAZAVI NAEINI S.M.. COMPARISON OF HEURISTIC METHODS APPLIED FOR OPTIMAL OPERATION OF WATER RESOURCES. WATER AND WASTEWATER[Internet]. 2009;19(4 (68)):57-66. Available from: https://sid.ir/paper/103492/en

IEEE: Copy

A.R. BORHANI DARIAN, and S.M. MORTAZAVI NAEINI, “COMPARISON OF HEURISTIC METHODS APPLIED FOR OPTIMAL OPERATION OF WATER RESOURCES,” WATER AND WASTEWATER, vol. 19, no. 4 (68), pp. 57–66, 2009, [Online]. Available: https://sid.ir/paper/103492/en

Related Journal Papers