Optimal design of winding transposition of power transformer using adaptive co-kriging surrogate model

A dynamic sample augmentation Kriging metamodeling method for industrial residue hydrogenation process

“…14,15 Therefore, it has been widely used in engineering design and optimization. In addition, some extensions such as co-Kriging, 16,17 gradientenhanced Kriging, 18 and nonstationary Kriging 19 have been researched and achieved better approximation accuracy.…”

Multi-Objective Pareto Optimization of Electromagnetic Devices Exploiting Kriging With Lipschitzian Optimized Expected Improvement

“…K RIGING, as a type of regression model, is able to predict response surface of the objective function through exploiting the spatial correlation of data which based only on limited information [1]- [3]. However, it was found that large-scale tasks-multi-objective and employing many design variables-may lead to a "combinatorial explosion" when all the required correlation matrices are established between the sample points and the design vectors.…”