Active load cases management during shape optimization is technically pretty much the same as during topology optimization. So, everything from the impact factor to load cases management, as described for topology optimization, applies also for shape optimization.
There are, however, a few issues that are worth being addressed in order to maximize the efficiency of the shape optimizer.
Typically, the main objective of shape optimization in ProTOp is to reduce stress concentrations on stripped surfaces. Under this assumption, any eigenvalue FEA load cases are irrelevant for the process and can therefore be suppressed to make the optimization cycles faster and more efficient.
The impact factors of various stress FEA load cases can be used effectively to identify load cases which are highly likely completely irrelevant for the shape optimization process. These load cases can also be suppressed for the sake of efficiency and computation speed.