Cho Mar Aye1, Kittinan Wansaseub2, Sumit Kumar3, Ghanshyam G. Tejani4, Sujin Bureerat1, Ali R. Yildiz5, Nantiwat Pholdee1,*
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2111-2128, 2023, DOI:10.32604/cmes.2023.028632
Abstract This work presents multi-fidelity multi-objective infill-sampling surrogate-assisted optimization for airfoil shape
optimization. The optimization problem is posed to maximize the lift and drag coefficient ratio subject to airfoil
geometry constraints. Computational Fluid Dynamic (CFD) and XFoil tools are used for high and low-fidelity
simulations of the airfoil to find the real objective function value. A special multi-objective sub-optimization
problem is proposed for multiple points infill sampling exploration to improve the surrogate model constructed.
To validate and further assess the proposed methods, a conventional surrogate-assisted optimization method
and an infill sampling surrogate-assisted optimization criterion are applied with multi-fidelity simulation, while
their… More >
Graphic Abstract
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