Surrogate Modelling with Sequential Design for Expensive Simulation Applications

Abstract

The computational demands of virtual experiments for modern product development processes can get out of control due to fine resolution and detail incorporation in simu‐ lation packages. These demands for appropriate approximation strategies and reliable selection of evaluations to keep the amount of required evaluations were limited, without compromising on quality and requirements specified upfront. Surrogate models provide an appealing data‐driven strategy to accomplish these goals for applications including design space exploration, optimization, visualization or sensitivity analysis. Extended with sequential design, satisfactory solutions can be identified quickly, greatly motivat‐ ing the adoption of this technology into the design process.