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• W2037446485 abstract "In general, simulation models are effectively used in the field of engineering design. The experiment with simulation models to obtain optimal design parameters, however, is a time-consuming task and requires a lot of resources. Hence, meta-models representing the relationships between input variables and performance measures are exploited to efficiently determine the value of design parameters. To construct a meta-model, a number of simulation executions with sample scenarios are required. The number and quality of sample scenarios determine not only the level of efficiency in constructing the meta-model but also accuracy of the model. Space-filling condition is regarded to be an important condition for the quality of scenarios. This paper proposes sample scenario generation methods based on space-filling measures such as maxmin, Audze-Eglais, and centered L2-discrepancy. The performance of these scenario generation methods are evaluated through experiments." @default.
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• W2037446485 date "2013-09-30" @default.
• W2037446485 modified "2023-09-26" @default.
• W2037446485 title "Efficient Generation of Space Filling Scenarios for Computer Experiments" @default.
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• W2037446485 doi "https://doi.org/10.9709/jkss.2013.22.3.015" @default.
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