DETERMINATION OF APPROPRIATE VALUES OF GENETIC ALGORITHM PARAMETERS IN OPTIMIZATION OF GRAVITY DAMS CROSS SECTION

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.

ASLANI M.; EMADI A.R.; NAZARPOUR H.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Conservation Year:2013 | Volume:20 | Issue:5 Page(s): 231-239

Download Full-Text

Persian Verion

View:

1,460

Download:

Cites:

Information Journal Paper

Title

DETERMINATION OF APPROPRIATE VALUES OF GENETIC ALGORITHM PARAMETERS IN OPTIMIZATION OF GRAVITY DAMS CROSS SECTION

Author(s)

ASLANI M. | EMADI A.R. | NAZARPOUR H. | Issue Writer Certificate

Keywords

CONCRETE GRAVITY DAMQ2

GENETIC ALGORITHMQ2

OPTIMIZATIONQ2

SENSITIVITY ANALYSISQ2

Abstract

Application of optimizer algorithms, in cross section OPTIMIZATION of gravity dams and finding optimal geometric dimensions of structure using this method is one of the problems which have been considered by designers. GENETIC ALGORITHM (GA) is one of the intelligent algorithms that apply Fitness, Selection, Mutation and Crossover, as operators to solve problems. In this research, the sensitivity of the prepared simulator-optimizer model was investigated in relation to variation of the replication rate, population size, mutation rate and the selection rate. In OPTIMIZATION of gravity dams cross section by GENETIC ALGORITHM, at the best state, replication rate, the initial population, the mutation rate and the selection rate were obtained 30, 50, 0.3 and 0.5, respectively. This data can be used as input parameters in OPTIMIZATION model to study about other dams.

Cites

No record.

References

No record.

Cite

APA: Copy

ASLANI, M., EMADI, A.R., & NAZARPOUR, H.. (2013). DETERMINATION OF APPROPRIATE VALUES OF GENETIC ALGORITHM PARAMETERS IN OPTIMIZATION OF GRAVITY DAMS CROSS SECTION. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 20(5), 231-239. SID. https://sid.ir/paper/156315/en

Vancouver: Copy

ASLANI M., EMADI A.R., NAZARPOUR H.. DETERMINATION OF APPROPRIATE VALUES OF GENETIC ALGORITHM PARAMETERS IN OPTIMIZATION OF GRAVITY DAMS CROSS SECTION. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2013;20(5):231-239. Available from: https://sid.ir/paper/156315/en

IEEE: Copy

M. ASLANI, A.R. EMADI, and H. NAZARPOUR, “DETERMINATION OF APPROPRIATE VALUES OF GENETIC ALGORITHM PARAMETERS IN OPTIMIZATION OF GRAVITY DAMS CROSS SECTION,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 20, no. 5, pp. 231–239, 2013, [Online]. Available: https://sid.ir/paper/156315/en

Related Journal Papers