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http://dx.doi.org/10.5139/JKSAS.2014.42.2.108

Feasibility Study of Hierarchical Kriging Model in the Design Optimization Process  

Ha, Honggeun (Department of Aerospace Engineering, Pusan National University)
Oh, Sejong (Department of Aerospace Engineering, Pusan National University)
Yee, Kwanjung (Department of Aerospace Engineering, Pusan National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.42, no.2, 2014 , pp. 108-118 More about this Journal
Abstract
On the optimization design problem using surrogate model, it requires considerable number of sampling points to construct a surrogate model which retains the accuracy. As an alternative to reduce construction cost of the surrogate model, Variable-Fidelity Modeling(VFM) technique, where correct high fidelity model based on the low fidelity surrogate model is introduced. In this study, hierarchical kriging model for variable-fidelity surrogate modeling is used and an optimization framework with multi-objective genetic algorithm(MOGA) is presented. To prove the feasibility of this framework, airfoil design optimization process is performed for the transonic region. The parameters of PARSEC are used to design variables and the optimization process is performed in case of varying number of grid and varying fidelity. The results showed that pareto front of all variable-fidelity models are similar with its single-level of fidelity model and calculation time is considerably reduced. Based on computational results, it is shown that VFM is a more efficient way and has an accuracy as high as that single-level of fidelity model optimization.
Keywords
Hierarchical Kriging Model; Multi-Objective Genetic Algorithm; PARSEC; Variable-Fidelity Modeling;
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