RSM based design optimization

Response Surface Models (RSM) based on data from designed numerical experiments are useful as approximation models in Engineering Optimization. Their construction can be enhanced by the inclusion of design sensitivity data. In this short paper we discuss two strategies to accomplish this. We compare both strategies in a numerical example and draw some general conclusions regarding their practical value