Breaking barriers to design dimensions in nearly orthogonal Latin hypercubes

dc.contributor.advisorLucas, Thomas W.
dc.contributor.authorHernandez, Alejandro S.
dc.contributor.departmentOperations Research
dc.dateDecember 2008
dc.date.accessioned2012-08-22T15:31:54Z
dc.date.available2012-08-22T15:31:54Z
dc.date.issued2008-12
dc.description.abstractA dynamic and extremely complex landscape in security and world events presents problems that challenge all sectors of society to develop efficient means for exploring a wide range of solutions. Similarly, exponential increases in technological capability make it difficult for commercial and governmental leaders to assess those proposed solutions. Computer experimentation is an established method for examining complex models with large numbers of factors. Orthogonal and nearly orthogonal Latin hypercubes are proven techniques for designing simulation experiments. A key property of these efficient, space-filling designs is their ability to explore many factors within a relatively modest number of design points; however, there is a limited inventory of these designs currently available. Those that have been catalogued are usually computationally expensive to produce and have severe restrictions in the number of factors and/or runs that they allow. To remedy this, we present a set of flexible methodologies to create design matrices with little or no correlation-including saturated nearly orthogonal Latin hypercubes. This new family of designs can explore as many factors as there are design points. This research also addresses experiments that include a mixture of continuous and integer variables, some of which have different numbers of value levels.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.urihttp://archive.org/details/breakingbarriers1094510306
dc.format.extentxxvi, 130 p. ; 28 cm.en_US
dc.identifier.urihttps://hdl.handle.net/10945/10306
dc.publisherMonterey California. Naval Postgraduate Schoolen_US
dc.subject.authorComputer Experimentsen_US
dc.subject.authorDesign of Experimentsen_US
dc.subject.authorMixed Integer Programmingen_US
dc.subject.authorLatin Hypercubeen_US
dc.subject.authorOptimizationen_US
dc.subject.authorNearly Orthogonalen_US
dc.subject.lcshMonte Carlo methoden_US
dc.titleBreaking barriers to design dimensions in nearly orthogonal Latin hypercubesen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.namePh.D. in Operations Researchen_US
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