A PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MIXED VARIABLE NONLINEAR PROBLEMS

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.

NAHVI H.; MOHAGHEGHIAN I.

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

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2011 | Volume:24 | Issue:1 (TRANSACTIONS A: BASICS) Page(s): 65-78

Download Full-Text

View:

446

Download:

339

Cites:

Information Journal Paper

Title

A PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MIXED VARIABLE NONLINEAR PROBLEMS

Author(s)

NAHVI H. | MOHAGHEGHIAN I. | Issue Writer Certificate

Keywords

PARTICLE SWARM OPTIMIZATION

MIXED-VARIABLE

ENGINEERING DESIGN

Abstract

Many ENGINEERING DESIGN problems involve a combination of both continuous and discrete variables. However, the number of studies scarcely exceeds a few on MIXED-VARIABLE problems. In this research PARTICLE SWARM OPTIMIZATION (PSO) algorithm is employed to solve mixedvariable nonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convex optimization problems. In this paper, it will be shown that PSO is one of the best optimization algorithms for solving MIXED-VARIABLE nonlinear problems. Some changes are performed in the convergence criterion of PSO to reduce computational costs. Two different types of PSO methods are employed in order to find the one which is more suitable for using in this approach. Then, several practical mechanical design problems are solved by this method. Numerical results show noticeable improvements in the results in different aspects.

Cites

No record.

References

No record.

Cite

APA: Copy

NAHVI, H., & MOHAGHEGHIAN, I.. (2011). A PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MIXED VARIABLE NONLINEAR PROBLEMS. INTERNATIONAL JOURNAL OF ENGINEERING, 24(1 (TRANSACTIONS A: BASICS)), 65-78. SID. https://sid.ir/paper/571842/en

Vancouver: Copy

NAHVI H., MOHAGHEGHIAN I.. A PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MIXED VARIABLE NONLINEAR PROBLEMS. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2011;24(1 (TRANSACTIONS A: BASICS)):65-78. Available from: https://sid.ir/paper/571842/en

IEEE: Copy

H. NAHVI, and I. MOHAGHEGHIAN, “A PARTICLE SWARM OPTIMIZATION ALGORITHM FOR MIXED VARIABLE NONLINEAR PROBLEMS,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 24, no. 1 (TRANSACTIONS A: BASICS), pp. 65–78, 2011, [Online]. Available: https://sid.ir/paper/571842/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops