Practical, Theoretical or Mathematical/ design of experimentsFourier seriespolynomials/ orthogonal latin hypercube designsFourier-polynomial modelsLHDcomputer experimentsone-dimensional uniformityquadratic effectsbilinear interactionsfactor screeningLatin hypercube designs (LHDs) are widely used in computer experiments ...
Latin hypercube designmetamodelsequential samplingSpace-filling and projective properties are probably the two most important features in computer experiment. The existing research works have tried to develop different kinds of sequential Latin hypercube design (LHD) to meet these two properties. However,...
Statistics and Computing Ray-Bing Chen, Dai-Ni Hsieh, Ying Hung& Weichung Wang 1207Accesses 64Citations Explore all metrics Abstract Latin hypercube designs (LHDs) are widely used in many applications. As the number of design points or factors becomes large, the total number of LHDs grows ex...
Xiong F, Xiong Y, Chen W, Yang S (2009) Optimizing Latin hypercube design for sequential sampling of computer experiments. Eng Optim 41(8):793-810Xiong F, Xiong Y, Chen W, Yang S (2009) Optimizing Latin hyper- cube design for sequential sampling of computer experiments. Eng Optim 41(8...
A randomly generated Latin hypercube design (LHD) can be quite structured: the variables may be highly correlated or the design may not have good space-fllling prop- erties. There are procedures to flnd good LHDs by minimizing the pairwise correlations or maximizing the inter-site distances....
The new LHDs are evaluated through case studies and compared with traditional methods to demonstrate their improved performance.;Keywords: Design of computer experiments; Gaussian process; Latin hypercube design; Screening design; Space-filling design; Multiple objective optimization; Pareto front search ...
proposedorthogonalLHD,isoptimalinthesenseofhavingtheminimumvaluesof ave(9t9),t max ,ave(9q9)andq max . &2010ElsevierB.V.Allrightsreserved. 1.Introduction Latinhypercubedesigns(LHDs),introducedbyMcKayetal.(1979),arepopularforcomputerexperimentsbecausethey allowtheinvestigationoffactorsatmanylevelsinrelati...
Therefore, when we project the design on to these factors, replication is not required. This can be achieved by using a Latin Hypercube Design (LHD) (McKay, Beckman, and Conover 1979). An LHD has the property that by projecting an n-point design on to any factor, we will get n di...
Optimal Sliced Latin Hypercube Designs Maximin distance criterionSpace-filling designSliced Latin hypercube designs (SLHDs) have important applications in designing computer experiments with continuous ... Shan,Ba,William,... - 《Technometrics》 被引量: 37发表: 2015年 Sliced Latin hypercube design ...
The optimal Latin hypercube experimental design method is used to refine the vortex generator parameters, determine the test scheme, simulate and calculate... 夏云松,谭剑锋,韩水,... - Journal of Shanghai Jiao Tong University (1006-2467) 被引量: 0发表: 2023年 Multi-Variate Optimization of Poly...