Flexible space-filling designs for complex system simulations
MacCalman, Alexander D.
Paulo, Eugene P.
MetadataShow full item record
In order to better understand the complex nature of a system, analysts need efficient experimental designs that can explore high-dimensional simulation models with multiple outputs. These simulation models are critical to the early phases of system design and involve complicated outputs with a wide variety of linear and nonlinear response surface forms. The most common response surface form for analyzing complex systems is the second-order model. Traditional designs that fit second-order response surface models do not effectively explore the interior of the experimental region and cannot fit higher-order models. We present a genetic algorithm that constructs space-filling designs with minimal correlations between all second-order terms for a mix of continuous and discrete factor types. These designs are specifically suited to fit the second-order model with excellent space-filling properties and are flexible enough to fit higher-order models for a modest number of factors; these high-order terms are what characterize the system complexities. We demonstrate the utility of these designs with a Model-Based Systems Engineering application that integrates multiple simulation outputs to form a trade-off environment for a system design. This research enables the simulation analysis and system design community to better understand the complex nature of multiple simulation outputs.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models Cioppa, Thomas M. (Monterey, California. Naval Postgraduate School, 2002-09);The Department of Defense uses complex high-dimensional simulation models as an important tool in its decision-making process. To improve on the ability to efficiently explore larger subspaces of these models, this ...
Giammarco, Kristin; Monica Auguston, Mikhail; Baldwin, W. Clifton; Crump, Ji'on; Farah-Stapleton (Elsevier, 2014);As system designs grow ever more complex, our ability to assimilate, process, and then make equally complex decisions is challenged to keep pace. Intricate relationships within each system, among interoperating systems, ...
Efficient, nearly orthogonal-and-balanced, mixed designs: an effective way to conduct trade-off analyses via simulation Vieira, H.; Sanchez, Susan M.; Kienitz, K.H.; Belderrain, M.C.N. (2013);Designed experiments are powerful methodologies for gaining insights into the behaviour of complex simulation models. In recent years, many new designs have been created to address the large number of factors and complex ...