I am using Direct Optimization on ANSYS Workbench 2019R1. I have an Icepak model with multiple parameters. I am running the optimization to minimize one parameter while keeping another derived parameter constant.
I am having two scenarios which I do not understand.
1. The optimization converges, but there are no candidate points.
2. Candidate points are given but the optimization did not converge.
I do not understand how it can give candidate points without converging, and how it converges and there are no candidate points.
Can someone elaborate on this topic please?