GLOBAL META-MODEL FOR SYSTEM LEVEL MULTIDISCIPLINARY DESIGN 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.

GHOLIPOUR YAGHOOB; MOHAMMADZADEH PARVIZ; SADAT SHIRAZI MOHADESEH

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

Journal Paper

Paper Information

Journal: Advances in Industrial Engineering Year:2011 | Volume:- | Issue:SUPPLEMENT Page(s): 39-49

Download Full-Text

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

Persian Verion

View:

845

Download:

147

Cites:

Information Journal Paper

Title

GLOBAL META-MODEL FOR SYSTEM LEVEL MULTIDISCIPLINARY DESIGN OPTIMIZATION

Author(s)

GHOLIPOUR YAGHOOB | MOHAMMADZADEH PARVIZ | SADAT SHIRAZI MOHADESEH | Issue Writer Certificate

Keywords

MULTIDISCIPLINARY DESIGN OPTIMIZATIONQ2

META-MODELQ2

MOVING LEAST SQUARES METHODQ2

COLLABORATIVE OPTIMIZATIONQ2

TRUST REGION STRATEGYQ2

Abstract

This paper presents an efficient global META-MODEL building technique for solving high fidelity MULTIDISCIPLINARY DESIGN OPTIMIZATION (MDO) problems. The main difficulties associated with MDO are often characterized by interdisciplinary couplings, high computational cost of an analysis in individual disciplines and a large number of design variables and constraints. These issues result in very high overall computational cost limiting applications of MDO to complex industrial design problems. To address these issues a combination of global META-MODEL using moving least squares (MLSM) and the TRUST REGION STRATEGY is introduced. A global META-MODEL is used to identify the feasible and infeasible regions and the TRUST REGION STRATEGY is used for a detailed search of the feasible region. The technique is demonstrated on a test problem and the effectiveness of the method for modeling and system level COLLABORATIVE OPTIMIZATION using high fidelity models is studied. The results show that META-MODEL based on MLSM provide a high degree of accuracy whilst achieving a considerable reduction in computational cost.

Cites

No record.

References

No record.

Cite

APA: Copy

GHOLIPOUR, YAGHOOB, MOHAMMADZADEH, PARVIZ, & SADAT SHIRAZI, MOHADESEH. (2011). GLOBAL META-MODEL FOR SYSTEM LEVEL MULTIDISCIPLINARY DESIGN OPTIMIZATION. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), -(SUPPLEMENT), 39-49. SID. https://sid.ir/paper/166420/en

Vancouver: Copy

GHOLIPOUR YAGHOOB, MOHAMMADZADEH PARVIZ, SADAT SHIRAZI MOHADESEH. GLOBAL META-MODEL FOR SYSTEM LEVEL MULTIDISCIPLINARY DESIGN OPTIMIZATION. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;-(SUPPLEMENT):39-49. Available from: https://sid.ir/paper/166420/en

IEEE: Copy

YAGHOOB GHOLIPOUR, PARVIZ MOHAMMADZADEH, and MOHADESEH SADAT SHIRAZI, “GLOBAL META-MODEL FOR SYSTEM LEVEL MULTIDISCIPLINARY DESIGN OPTIMIZATION,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. -, no. SUPPLEMENT, pp. 39–49, 2011, [Online]. Available: https://sid.ir/paper/166420/en

Related Journal Papers