alfiyandyhr / transonic-airfoil-optim Public

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I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate the expensive evaluation functions of CFD (Computational Fluid Dynamics) and genetic algorithms (NSGA-II) to do the optimization routines.

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Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
CFD_Validation		CFD_Validation
Data		Data
Designs		Designs
Grid_Convergence_Study/baseline		Grid_Convergence_Study/baseline
Initial_Sampling		Initial_Sampling
Output		Output
Parametric_Study		Parametric_Study
Solutions		Solutions
Trash_Codes		Trash_Codes
__pycache__		__pycache__
BSpline.py		BSpline.py
DataProcess.py		DataProcess.py
LoadVars.py		LoadVars.py
Mesh.py		Mesh.py
NeuralNet.py		NeuralNet.py
README.md		README.md
README.txt		README.txt
SaveOutput.py		SaveOutput.py
config.dat		config.dat
eval.py		eval.py
ga.py		ga.py
kmeans.py		kmeans.py
lhs		lhs
lhs.c		lhs.c
lhs.exe		lhs.exe
lhs_constr_config.in		lhs_constr_config.in
main.py		main.py
performance.py		performance.py
plot.py		plot.py
plot_design_space.py		plot_design_space.py
preeval.py		preeval.py
su2.py		su2.py
test_model.py		test_model.py