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Constructing nearly orthogonal latin hypercubes for any nonsaturated run-variable combination

Published: 21 November 2012 Publication History

Abstract

We present a new method for constructing nearly orthogonal Latin hypercubes that greatly expands their availability to experimenters. Latin hypercube designs have proven useful for exploring complex, high-dimensional computational models, but can be plagued with unacceptable correlations among input variables. To improve upon their effectiveness, many researchers have developed algorithms that generate orthogonal and nearly orthogonal Latin hypercubes. Unfortunately, these methodologies can have strict limitations on the feasible number of experimental runs and variables. To overcome these restrictions, we develop a mixed integer programming algorithm that generates Latin hypercubes with little or no correlation among their columns for most any determinate run-variable combination—including fully saturated designs. Moreover, many designs can be constructed for a specified number of runs and factors—thereby providing experimenters with a choice of several designs. In addition, our algorithm can be used to quickly adapt to changing experimental conditions by augmenting existing designs by adding new variables or generating new designs to accommodate a change in runs.

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    cover image ACM Transactions on Modeling and Computer Simulation
    ACM Transactions on Modeling and Computer Simulation  Volume 22, Issue 4
    November 2012
    135 pages
    ISSN:1049-3301
    EISSN:1558-1195
    DOI:10.1145/2379810
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 21 November 2012
    Accepted: 01 July 2012
    Revised: 01 February 2012
    Received: 01 August 2011
    Published in TOMACS Volume 22, Issue 4

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    Author Tags

    1. Correlation
    2. Latin hypercube
    3. mixed integer program
    4. multicollinearity
    5. nearly orthogonal
    6. optimization
    7. orthogonal
    8. saturated
    9. simulation

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