A Sequential Sampling Generation Method for Multi-Fidelity Model Based on Voronoi Region and Sample Density

Multi-fidelity surrogate model-based engineering optimization has received much attention because it alleviates the computational burdens of expensive simulations or experiments. However, due to the nonlinearity of practical engineering problems, the initial sample set selected to produce the first set of data will almost inevitably miss certain features of the landscape, and thus, the construction of a useful surrogate often requires further,...