AN EFFICIENT STOCHASTIC SEARCH WITH MINIMAL INITIAL POPULATION FOR STRUCTURAL OPTIMIZATION

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.; SHAHROUZI M.

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:2010 | Volume:11 | Issue:6 Page(s): 741-762

Download Full-Text

View:

287

Download:

134

Cites:

Information Journal Paper

Title

AN EFFICIENT STOCHASTIC SEARCH WITH MINIMAL INITIAL POPULATION FOR STRUCTURAL OPTIMIZATION

Author(s)

KAVEH A. | SHAHROUZI M. | Issue Writer Certificate

Keywords

GENETIC ALGORITHM

ANT COLONY METAPHOR

SIMULATED ANNEALING

DIRECT INDEX CODING

VARIABLE MUTATION BAND

TOPOLOGY OPTIMIZATION

Abstract

GENETIC ALGORITHMs are best suited for unconstrained problems; however, most of the practical cases have constraints. As a common approach, modifying initial population due to problem-specific information has not yet come to an end. This is due to the generalization challenges and also the lack of diversity and effectiveness regarding relatively narrow size of the feasible subspace of the entire search space. In this article, a new type of expanding genetic population is presented starting from its minimal size. Suitable ideas from ant colony and SIMULATED ANNEALING approaches are utilized for an adaptive efficient search which is also tune able by the developed extra control parameters. Effectiveness and efficiency of the proposed method are illustrated by capturing the global optimum in a number of well-known structural size and layout optimization examples in a considerably less fitness evaluations compared to the other standard methods.

Cites

No record.

References

No record.

Cite

APA: Copy

KAVEH, A., & SHAHROUZI, M.. (2010). AN EFFICIENT STOCHASTIC SEARCH WITH MINIMAL INITIAL POPULATION FOR STRUCTURAL OPTIMIZATION. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 11(6), 741-762. SID. https://sid.ir/paper/298849/en

Vancouver: Copy

KAVEH A., SHAHROUZI M.. AN EFFICIENT STOCHASTIC SEARCH WITH MINIMAL INITIAL POPULATION FOR STRUCTURAL OPTIMIZATION. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2010;11(6):741-762. Available from: https://sid.ir/paper/298849/en

IEEE: Copy

A. KAVEH, and M. SHAHROUZI, “AN EFFICIENT STOCHASTIC SEARCH WITH MINIMAL INITIAL POPULATION FOR STRUCTURAL OPTIMIZATION,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 11, no. 6, pp. 741–762, 2010, [Online]. Available: https://sid.ir/paper/298849/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops