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ArticleA study on algorithms for optimization of Latin hypercubes

Mattias Liefvendahl2005

Article2005

A study on algorithms for optimization of Latin hypercubes

Mattias Liefvendahl · R. Stocki

221 citations·0/0 files stored·Journal of Statistical Planning and Inference

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Optimal Experimental Design Methods Simulation Techniques and Applications Mathematical Approximation and Integration

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1982A distribution-free approach to inducing rank correlation among input variables 1990Minimax and maximin distance designs 1995Exploratory designs for computational experiments 1994Optimal Latin-hypercube designs for computer experiments 2000Algorithmic construction of optimal symmetric Latin hypercube designs 1998Improvements to and limitations of Latin hypercube sampling

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2010Space-filling Latin hypercube designs for computer experiments 2021To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications 2010Generalized Latin Hypercube Design for Computer Experiments 2005A method to improve design reliability using optimal Latin hypercube sampling 2014Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling

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Details

Year2005

Typearticle

Published2005-04-19

VenueJournal of Statistical Planning and Inference

ISSN-L0378-3758

Languageen

Citations221

Files0 public / 0

ShelfOptimal Experimental Design Methods

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doi10.1016/j.jspi.2005.01.007

openalex_workW1973584191

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2016Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles

2012Optimizing Latin hypercube designs by particle swarm

2013An efficient optimum Latin hypercube sampling technique based on sequencing optimisation using simulated annealing