PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OFMIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS

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.

AFSHAR A.; MADADGAR S.; JALALI M.R.; SHARIFI F.

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

Journal Paper

Paper Information

Journal: International Journal of Optimization in Civil Engineering Year:2012 | Volume:2 | Issue:1 Page(s): 115-136

Download Full-Text

View:

280

Download:

Cites:

Information Journal Paper

Title

PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OFMIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS

Author(s)

AFSHAR A. | MADADGAR S. | JALALI M.R. | SHARIFI F.

Keywords

ANT COLONY OPTIMIZATION

MIXED-VARIABLE PROBLEMS

WATER MAIN DESIGN

Abstract

ANT COLONY OPTIMIZATION algorithms (ACOs) have been basically introduced to discrete variable problems and applied to different research domains in several engineering fields. Meanwhile, abundant studies have been already involved to adapt different ant models to continuous search spaces. Assessments indicate competitive performance of ACOs on discrete or continuous domains. Therefore, as potent optimization algorithms, it is encouraging to involve ant models to mixed-variable domains which simultaneously tackle discrete and continuous variables. This paper introduces four ant-based methods to solve MIXED-VARIABLE PROBLEMS. Each method is based upon superlative ant algorithms in discrete and/or continuous domains. Proposed methods’ performances are then tested on a set of three mathematical functions and also a WATER MAIN DESIGN problem in engineering field, which are elaborately subject to linear and non-linear constraints. All proposed methods perform rather satisfactorily on considered problems and it is suggested to further extend the application of methods to other engineering studies.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

AFSHAR, A., MADADGAR, S., JALALI, M.R., & SHARIFI, F.. (2012). PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OFMIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 2(1), 115-136. SID. https://sid.ir/paper/329367/en

Vancouver: Copy

AFSHAR A., MADADGAR S., JALALI M.R., SHARIFI F.. PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OFMIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2012;2(1):115-136. Available from: https://sid.ir/paper/329367/en

IEEE: Copy

A. AFSHAR, S. MADADGAR, M.R. JALALI, and F. SHARIFI, “PERFORMANCE OF DIFFERENT ANT-BASED ALGORITHMS FOR OPTIMIZATION OFMIXED VARIABLE DOMAIN IN CIVIL ENGINEERING DESIGNS,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 2, no. 1, pp. 115–136, 2012, [Online]. Available: https://sid.ir/paper/329367/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops