Simulation experiments may be conducted for many reasons, for example, optimization. Additionally, and not incidentally, an objective of any system simulation must be to achieve a certain measure of understanding of the nature of the relationships between the input variables and the output variables of the real system under study. The simulation model, although simpler than the real-world system, is still a very complex way of relating input to output. Sometimes, a simpler model may be used as an auxiliary to the simulation model in order to better understand the more complex model and to provide a framework for testing hypotheses about it. This auxiliary model is frequently referred to as a metamodel (Santos 2009; Cheng 2008; Santos and Santos 2007; Friedman 1996).
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