Hello,
I wan to run an optimzation in HyperStudy. I am using a FluxMotor model on which I am changing some geometric parameters to find an optimal motor for my case. These geometric parameters are listed as input variables with a lower and upper bound within HyperStudy. I have around 20 geometric inputs. Because of this, there is a high chance that for a given set of inputs, the actual motor would not be physically possible because of an intersection of lines or faces. I see this especially during a DOE run.
FluxMotor would give me a notice if a specific motor would not be possible if a certain input is too big. I found out that within FluxMotor I can find the geometric constraints for the magnet and slot shapes. I have added these constraints within HyperStudy. I was able to reduce the number of failed runs in a DOE but there still sets of input variables that cause a failed run. The runs failed because of intersections of lines and faces.
I started a optimization (MOGA solver) with this model but unfortunately the run ended prematurely with this notification:
ERROR #1000: failed analysis is more than 90% of the population.
***** OPTIMIZATION STOPPED DUE TO FATAL ERROR *****
Is there a way to disable this function? I want to run the optimization regardless of the percentage or number of failed runs.