...Guanying Huo; Xin Jiang; Zhiming Zheng; Deyi Xue Purpose Metamodeling is an effective method to approximate the relations between input and output parameters when significant efforts of experiments and simulations are required to collect the data to build the relations. This paper aims to develop...

..., 2006 ; Swiler, 2006). The dimensionality of the functional control parameter is represented by d: (3) θ f   ∼   G P ( 0.5 ,   λ θ f − 1 R ( x f , x f ′ ) ) Bayesian inference Metamodel Coupled systems Empirical surrogate Emulator...

...Xiwen Cai; Haobo Qiu; Liang Gao; Xiaoke Li; Xinyu Shao Purpose This paper aims to propose hybrid global optimization based on multiple metamodels for improving the efficiency of global optimization. Design/methodology/approach The method has fully utilized the information provided by different...

...Leshi Shu; Ping Jiang; Li Wan; Qi Zhou; Xinyu Shao; Yahui Zhang Purpose Metamodels are widely used to replace simulation models in engineering design optimization to reduce the computational cost. The purpose of this paper is to develop a novel sequential sampling strategy (weighted accumulative...

... simulation codes and employ both efficiently simplified and expensively detailed information in multidisciplinary design optimization (MDO), an effective framework combining variable fidelity metamodels (VFM) and modified BLISCO (MBLISCO) (VFM-MBLISCO) is proposed. Design/methodology/approach...

... in order to perform a variance-based decomposition and to reduce stochastic dimension based on an appropriate criterion. A massive use of metamodels allows reconstructing response surfaces for sensitivity indexes in the design variables plan. To validate the proposed approach, a simplified configuration...