A Robust Error-Pursuing Sequential Sampling Approach for Global Metamodeling Based on Voronoi Diagram and Cross Validation
暂无分享,去创建一个
Haitao Liu | Xiaomo Jiang | Wang Xiaofang | Shengli Xu | Xiaomo Jiang | Shengli Xu | Haitao Liu | W. Xiaofang
[1] N. Cressie. Spatial prediction and ordinary kriging , 1988 .
[2] Li Liu,et al. A novel algorithm of maximin Latin hypercube design using successive local enumeration , 2012 .
[3] Shapour Azarm,et al. An accumulative error based adaptive design of experiments for offline metamodeling , 2009 .
[4] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[5] Shapour Azarm,et al. Bayesian meta‐modelling of engineering design simulations: a sequential approach with adaptation to irregularities in the response behaviour , 2005 .
[6] Andy J. Keane,et al. Engineering Design via Surrogate Modelling - A Practical Guide , 2008 .
[7] H. Fang,et al. Global response approximation with radial basis functions , 2006 .
[8] Peter Winker,et al. Centered L2-discrepancy of random sampling and Latin hypercube design, and construction of uniform designs , 2002, Math. Comput..
[9] Yao Lin,et al. An Efficient Robust Concept Exploration Method and Sequential Exploratory Experimental Design , 2004 .
[10] Kenny Q. Ye,et al. Algorithmic construction of optimal symmetric Latin hypercube designs , 2000 .
[11] M. D. McKay,et al. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .
[12] Franz Aurenhammer,et al. Voronoi diagrams—a survey of a fundamental geometric data structure , 1991, CSUR.
[13] Andrea Grosso,et al. Finding maximin latin hypercube designs by Iterated Local Search heuristics , 2009, Eur. J. Oper. Res..
[14] Ronald L. Iman,et al. Risk methodology for geologic disposal of radioactive waste: small sample sensitivity analysis techniques for computer models, with an application to risk assessment , 1980 .
[15] Reinhard Radermacher,et al. Cross-validation based single response adaptive design of experiments for Kriging metamodeling of deterministic computer simulations , 2013 .
[16] M. E. Johnson,et al. Minimax and maximin distance designs , 1990 .
[17] Filip De Turck,et al. Blind Kriging: Implementation and performance analysis , 2012, Adv. Eng. Softw..
[18] Ruichen Jin,et al. On Sequential Sampling for Global Metamodeling in Engineering Design , 2002, DAC 2002.
[19] J. Friedman. Multivariate adaptive regression splines , 1990 .
[20] G. Venter,et al. An algorithm for fast optimal Latin hypercube design of experiments , 2010 .
[21] Randal J. Barnes,et al. Infill sampling criteria to locate extremes , 1995 .
[22] Dirk Gorissen,et al. A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments , 2011, SIAM J. Sci. Comput..
[23] G. Gary Wang,et al. Review of Metamodeling Techniques in Support of Engineering Design Optimization , 2007 .
[24] Wei Chen,et al. Optimizing Latin hypercube design for sequential sampling of computer experiments , 2009 .
[25] Tom Dhaene,et al. Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling , 2011, Eur. J. Oper. Res..
[26] A. J. Booker,et al. A rigorous framework for optimization of expensive functions by surrogates , 1998 .
[27] Richard H. Crawford,et al. Multidimensional sequential sampling for NURBs-based metamodel development , 2007, Engineering with Computers.
[28] S. Rippa,et al. Numerical Procedures for Surface Fitting of Scattered Data by Radial Functions , 1986 .