When will a shape optimization testcase terminate?

Emily1412 · April 13, 2014, 13:02

According to the documentation Running SU2,"Objective functions (drag, lift, etc.) are determined running a direct flow solution in SU2_CFD and gradients are obtained using the adjoint solution. For each iteration in the design process, the mesh is deformed using SU2_MDC, and the analysis is repeated until a local optimum is reached."
I want to know that when will a local optimum be reached? What the exact meaning of it? It seems that it calls the SU2_CFD many times. When will the program terminate?

economon · April 13, 2014, 23:16

Hi Emily,

SU2 uses the SLSQP algorithm that is available through the SciPy package in Python. You can find some more information about it here (including how to set the tolerance for the optimizer convergence): http://docs.scipy.org/doc/scipy-0.13...min_slsqp.html.

Tom

April 13, 2014, 13:02	When will a shape optimization testcase terminate?	#1
Emily1412 New Member emily Join Date: Mar 2014 Posts: 15 Rep Power: 12	According to the documentation Running SU2,"Objective functions (drag, lift, etc.) are determined running a direct flow solution in SU2_CFD and gradients are obtained using the adjoint solution. For each iteration in the design process, the mesh is deformed using SU2_MDC, and the analysis is repeated until a local optimum is reached." I want to know that when will a local optimum be reached? What the exact meaning of it? It seems that it calls the SU2_CFD many times. When will the program terminate?

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April 13, 2014, 23:16		#2
economon Super Moderator Thomas D. Economon Join Date: Jan 2013 Location: Stanford, CA Posts: 271 Rep Power: 14	Hi Emily, SU2 uses the SLSQP algorithm that is available through the SciPy package in Python. You can find some more information about it here (including how to set the tolerance for the optimizer convergence): http://docs.scipy.org/doc/scipy-0.13...min_slsqp.html. Tom