TY - JOUR
T1 - Parallel GSE method and its application in optimization for coupled systems
AU - Long, Teng
AU - Liu, Li
PY - 2010/9
Y1 - 2010/9
N2 - The advantages of parallel global sensitivity equation (GSE) method are pointed out, the computational performance of the parallel GSE method is also qualitatively analyzed. The general parallel GSE driver (GPGDRV) is developed based on ModelCenter, and then the general parallel GSE optimizer (GPGOPT) is created through COM technology associated with an optimization algorithm. In this manner, the parallel GSE is applied in optimization for internally coupled systems. Numerical study case illustrates that the efficiency to solve the sensitivity of coupled systems is improved evidently through the GSE method. A conceptual optimization of an assumed training airplane is carried out with GPGDRV and GPGOPT, a quantificational comparison of computational performance with the finite difference method is conducted as well. The comparative results agree well with the qualitative analysis. Moreover, the study results demonstrate that computational efficiency is improved dramatically by using the GSE method, which makes the optimization time decrease by about 76%. The optimization time, furthermore, can be still reduced ulteriorly through the parallel GSE method. Additionally, GPGDRV and GPGOPT are practicable for the analysis and optimization of coupled systems.
AB - The advantages of parallel global sensitivity equation (GSE) method are pointed out, the computational performance of the parallel GSE method is also qualitatively analyzed. The general parallel GSE driver (GPGDRV) is developed based on ModelCenter, and then the general parallel GSE optimizer (GPGOPT) is created through COM technology associated with an optimization algorithm. In this manner, the parallel GSE is applied in optimization for internally coupled systems. Numerical study case illustrates that the efficiency to solve the sensitivity of coupled systems is improved evidently through the GSE method. A conceptual optimization of an assumed training airplane is carried out with GPGDRV and GPGOPT, a quantificational comparison of computational performance with the finite difference method is conducted as well. The comparative results agree well with the qualitative analysis. Moreover, the study results demonstrate that computational efficiency is improved dramatically by using the GSE method, which makes the optimization time decrease by about 76%. The optimization time, furthermore, can be still reduced ulteriorly through the parallel GSE method. Additionally, GPGDRV and GPGOPT are practicable for the analysis and optimization of coupled systems.
KW - Coupled system
KW - Global sensitivity equation (GSE)
KW - Optimization
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=77957947588&partnerID=8YFLogxK
U2 - 10.3969/j.issn.1001-506X.2010.09.24
DO - 10.3969/j.issn.1001-506X.2010.09.24
M3 - Article
AN - SCOPUS:77957947588
SN - 1001-506X
VL - 32
SP - 1898-1902+1940
JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
IS - 9
ER -