White paper by Joseph Pajot, Altair
HyperStudy 12.0 introduced the new optimization algorithm GRSM. This easy to use method contains several notable features, including:
1. Global search of the design space to avoid local minima.
2. Better efficiency for problems with larger numbers of design variables (compared to ARSM).
3. Faster solution when using multi-execute to analyze multiple points simultaneously.
4. Applicable to single and multiple objective problems.
here . . . is a short paper on the application of GRSM to a realistic HyperStudy optimization problem, with a focus on understanding GRSM and how to most effectively use it.
Read the full paper here . . .