Abstract:The use of surrogate models to determine scaling rules for product families has been proven to be a powerful tool for dimensioning complex shape geometries by replacing costly to evaluate problems with almost instantly to solve mathematical functions. However, there is a broad range of surrogate models in the literature and each model can be configured in multiple ways. In addition, the optimal selection of a surrogate model and its configuration is highly conditioned by the case study nature. Consequently, no… Show more
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