SEEKER EVOLUTIONARY ALGORITHM (SEA): A NOVEL ALGORITHM FOR CONTINUOUS 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.

POURSAFARY S.; JAVADIAN N.; TAVAKKOLI MOGHADDAM R.

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

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENGINEERING Year:2014 | Volume:27 | Issue:10 (TRANSACTIONS A: BASICS) Page(s): 1601-1610

Download Full-Text

View:

519

Download:

108

Cites:

Information Journal Paper

Title

SEEKER EVOLUTIONARY ALGORITHM (SEA): A NOVEL ALGORITHM FOR CONTINUOUS OPTIMIZATION

Author(s)

POURSAFARY S. | JAVADIAN N. | TAVAKKOLI MOGHADDAM R. | Issue Writer Certificate

Keywords

EVOLUTIONARY ALGORITHMS

META-HEURISTIC ALGORITHMS

GLOBAL OPTIMIZATION

SEEKER EVOLUTIONARY ALGORITHM

MULTIPLE GLOBAL MINIMA

Abstract

Nowadays, in majority of academic contexts, it has been tried to consider the highest possible level of similarities to the real world. Hence, most of the problems have complicated structures. Traditional methods for solving almost all of the mathematical and optimization problems are inefficient. As a result, META-HEURISTIC ALGORITHMS have been employed increasingly during recent years. In this study, a new algorithm, namely SEEKER EVOLUTIONARY ALGORITHM (SEA), is introduced for solving continuous mathematical problems, which is based on a group seeking logic. In this logic, the seeking region and the seekers located inside are divided into several sections and they seek in that special area. In order to assess the performance of this algorithm, from the available samples in papers, the most visited algorithms have been employed. The obtained results show the advantage of the proposed SEA in comparison to these algorithms. At the end, a mathematical problem is designed, which is unlike the structure of META-HEURISTIC ALGORITHMS. All the prominent algorithms are applied to solve this problem, and none of them is able to solve.

Cites

No record.

References

No record.

Cite

APA: Copy

POURSAFARY, S., JAVADIAN, N., & TAVAKKOLI MOGHADDAM, R.. (2014). SEEKER EVOLUTIONARY ALGORITHM (SEA): A NOVEL ALGORITHM FOR CONTINUOUS OPTIMIZATION. INTERNATIONAL JOURNAL OF ENGINEERING, 27(10 (TRANSACTIONS A: BASICS)), 1601-1610. SID. https://sid.ir/paper/637662/en

Vancouver: Copy

POURSAFARY S., JAVADIAN N., TAVAKKOLI MOGHADDAM R.. SEEKER EVOLUTIONARY ALGORITHM (SEA): A NOVEL ALGORITHM FOR CONTINUOUS OPTIMIZATION. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2014;27(10 (TRANSACTIONS A: BASICS)):1601-1610. Available from: https://sid.ir/paper/637662/en

IEEE: Copy

S. POURSAFARY, N. JAVADIAN, and R. TAVAKKOLI MOGHADDAM, “SEEKER EVOLUTIONARY ALGORITHM (SEA): A NOVEL ALGORITHM FOR CONTINUOUS OPTIMIZATION,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 27, no. 10 (TRANSACTIONS A: BASICS), pp. 1601–1610, 2014, [Online]. Available: https://sid.ir/paper/637662/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops