... model under different wind conditions. Proper Orthogonal Decomposition, namely High Order Singular Value Decomposition, is applied to create a surrogate model. When coupled with site-specific meteorological forecasts, it produces high-resolution wind flow and turbulence maps (spatial resolution of less...

...) surrogate model for parameter estimation in time-consuming models. Design/methodology/approach The MOGP surrogate model is established to replace the computationally expensive finite element method (FEM) analysis during the estimation process. We propose a novel adaptive sampling method for MOGP...

.... The agents explored the design space with the help of a surrogate model and airfoil parameterization. Findings The agents successfully learned to design the airfoils. The loss coefficients of a controlled diffusion airfoil improved by 1.25% and 3.23% in the two- and four-dimensional design spaces...

...Mushi Li; Zhao Liu; Li Huang; Ping Zhu Purpose Compared with the low-fidelity model, the high-fidelity model has both the advantage of high accuracy, and the disadvantage of low efficiency and high cost. A series of multi-fidelity surrogate modelling method were developed to give full play...

... and application of meshless methods and surrogate models to the DED process. Design/methodology/approach Finite pointset method (FPM) is used to solve conservation equations involved in the DED process. A surrogate model is then established for the DED process using design of experiments with powder feeding...

...Eduardo Krempser; Heder S. Bernardino; Helio J.C. Barbosa; Afonso C.C. Lemonge Purpose The purpose of this paper is to propose and analyze the use of local surrogate models to improve differential evolution’s (DE) overall performance in computationally expensive problems. Design/methodology...