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http://dx.doi.org/10.3795/KSME-A.2007.31.12.1150

Performances of Multidisciplinary Design Optimization Methodologies in Parallel Computing Environment  

Ahn, Moon-Youl (서울시립대학교 기계정보공학과)
Lee, Se-J. (서울시립대학교 기계정보공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.31, no.12, 2007 , pp. 1150-1156 More about this Journal
Abstract
Multidisciplinary design optimization methodologies play an essential role in modern engineering design which involves many inter-related disciplines. These methodologies usually require very long computing time and design tasks are hard to finish within a specified design cycle time. Parallel processing can be effectively utilized to reduce the computing time. The research on the parallel computing performance of MDO methodologies has been just begun and developing. This study investigates performances of MDF, IDF, SAND and CO among MDO methodologies in view of parallel computing. Finally, the best out of four methodologies is suggested for parallel processing purpose.
Keywords
Design; Multidisciplinary Design Optimization; Optimization; Parallel Computing;
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