This workshop will focus on model optimization in CONVERGE, including Genetic Algorithm (GA) optimization and Design of Experiments model interrogation. We will discuss different types of optimization and the details of the GA methodology, and we will use examples to illustrate how to set up the utility, select parameters, and run an optimization. Finally, we will discuss the best practices of optimization (e.g., model setup, parameter and range selection, and search space considerations) and advanced applications such as geometry modification.
*This lecture does not include hands-on CONVERGE Studio practice.