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Resolution-optimised nonlinear scheme for secondary derivatives 期刊论文
INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS, 2016, 卷号: 30, 期号: 2, 页码: 107-119
作者:  Li L(李理);  Yu ZP(于长平);  Chen Z(陈哲);  Li XL(李新亮);  Li, XL (reprint author), Chinese Acad Sci, Inst Mech, Beijing, Peoples R China.
浏览  |  Adobe PDF(1358Kb)  |  收藏  |  浏览/下载：412/80  |  提交时间：2016/11/08
Spectral-like Schemes  Secondary Derivatives  Viscous Terms  Nonlinear Optimisation  Nonlinear Weight  
An Algorithm for Calculating the RMS Value of the Non-Sinusoidal Current Used in AC Resistance Spot Welding 期刊论文
JOURNAL OF POWER ELECTRONICS, 2015, 卷号: 15, 期号: 4, 页码: 1139-1147
作者:  Zhou K(周亢);  Cai, Lilong;  Zhou, K (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100080, Peoples R China.
Adobe PDF(398Kb)  |  收藏  |  浏览/下载：490/98  |  提交时间：2015/10/21
Model-independent  Neural Network  Nonlinear  Rms Value  Single-phase Ac Rsw  
A metamodel-assisted evolutionary algorithm for expensive optimization 会议论文
7th International Conference on Scientific Computing and Applications, Dalian, PEOPLES R CHINA, JUN 13-16, 2010
作者:  Luo CT(罗长童);  Zhang SL;  Wang C(王春);  Jiang ZL(姜宗林);  Luo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
Adobe PDF(222Kb)  |  收藏  |  浏览/下载：851/200  |  提交时间：2012/04/01
Expensive Optimization  Evolutionary Algorithm  Low Dimensional Simplex Evolution  Metamodel  Radial Basis Function  Radial Basis Function  Black-box Functions  Global Optimization  
A metamodel-assisted evolutionary algorithm for expensive optimization 期刊论文
Journal of Computational and Applied Mathematics, 2011, 卷号: 236, 期号: 5, 页码: 759-764
作者:  Luo ZT(罗长童);  Zhang SL(张绍良);  Wang C(王春);  Jiang ZL(姜宗林);  Luo, CT (reprint author), Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China
Adobe PDF(222Kb)  |  收藏  |  浏览/下载：743/190  |  提交时间：2012/04/01
Expensive Optimization  Evolutionary Algorithm  Low Dimensional Simplex Evolution  Metamodel  Radial Basis Function  Radial Basis Function  Black-box Functions  Global Optimization