ENGINEERING DESIGN OPTIMIZATION USING A HYBRID PSO AND HS ALGORITHM

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.

KAVEH A.; NASR ELAHI A.

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

Journal Paper

Paper Information

Journal: ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING) Year:2013 | Volume:14 | Issue:2 Page(s): 201-223

Download Full-Text

View:

368

Download:

274

Cites:

Information Journal Paper

Title

ENGINEERING DESIGN OPTIMIZATION USING A HYBRID PSO AND HS ALGORITHM

Author(s)

KAVEH A. | NASR ELAHI A. | Issue Writer Certificate

Keywords

PARTICLE SWARM OPTIMIZATION

HARMONY SEARCH ALGORITHM

PSOHS

ENGINEERING OPTIMIZATION

Abstract

In this paper, a new hybrid PARTICLE SWARM OPTIMIZATION (PSO) and Harmony Search (HS) algorithm, denoted by PSOHS is presented. This hybrid algorithm is designed to improve the efficiency of the PSO and remove some of the disadvantages which reduce the capability of the PSO. The main problem of the PSO is the lack of balance between exploration and exploitation of the algorithm. Another problem is how to handle the violating particles from feasible search space without reduction in the performance of the algorithm. The problem of unbalanced exploration and exploitation is solved using linear varying inertia weight. The second problem is solved in some other algorithms via reproduction of the violating particles using the HS algorithm. In this paper, these two approaches are combined to achieve a more efficient algorithm for engineering design problems. To show the higher capability of this approach compared to other works, several benchmark engineering examples, which have been considered previously and solved utilizing a variety of optimization algorithms, is solved by the present hybrid algorithm. Results illustrate a desirable performance of the PSOHS in both obtaining lower weight and having a higher convergence rate.

Cites

No record.

References

No record.

Cite

APA: Copy

KAVEH, A., & NASR ELAHI, A.. (2013). ENGINEERING DESIGN OPTIMIZATION USING A HYBRID PSO AND HS ALGORITHM. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 14(2), 201-223. SID. https://sid.ir/paper/299020/en

Vancouver: Copy

KAVEH A., NASR ELAHI A.. ENGINEERING DESIGN OPTIMIZATION USING A HYBRID PSO AND HS ALGORITHM. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2013;14(2):201-223. Available from: https://sid.ir/paper/299020/en

IEEE: Copy

A. KAVEH, and A. NASR ELAHI, “ENGINEERING DESIGN OPTIMIZATION USING A HYBRID PSO AND HS ALGORITHM,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 14, no. 2, pp. 201–223, 2013, [Online]. Available: https://sid.ir/paper/299020/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops