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dc.contributor.authorMacCalman, Alex D.
dc.contributor.authorSanchez, Susan M.
dc.contributor.authorMcDonald, Mary L.
dc.contributor.authorGoerger, Simon R.
dc.contributor.authorKarl, Andrew T.
dc.date.accessioned2017-07-12T15:48:27Z
dc.date.available2017-07-12T15:48:27Z
dc.date.issued2016
dc.identifier.citationA.D. MacCalman, S.M. Sanchez, M.L. McDonald, S.R. Goerger, A.T. Karl, "Tradespace analysis for multiple performance measures," Proceedings of the 2016 Winter Simulation Conference, pp. 3063-3074.en_US
dc.identifier.urihttp://hdl.handle.net/10945/55203
dc.description.abstractTo meet the changing demands of operational environments, future Department of Defense solutions require the engineering of resilient systems. Scientists, engineers and analysts rely on modeling, simulation, and tradespace analysis to design future resilient systems. During conceptual system design, high performance computing clusters and models from multiple domains are leveraged to conduct large-scale simulation experiments that generate multi-dimensional data for tradespace exploration. Despite recent breakthroughs in computation capabilities, the world’s most powerful computers cannot effectively explore a high-dimensional tradespace using a brute-force approach. This paper outlines a viable methodology and process to generate large numbers of variant solutions for tradeoff analysis. Design of experiments is used to efficiently explore a high-dimensional tradespace and identify system design drivers. These drivers are used to identify model inputs that help focus tradespace generation in areas that promise viable solutions. A dashboard illustrates how viable variant exploration can be conducted to illuminate trade decisions.en_US
dc.format.extent32 p.en_US
dc.publisherIEEEen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleTradespace analysis for multiple performance measuresen_US
dc.typeConference Paperen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentOperations Research (OR)en_US


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