Hi Dhanesh,
In general, these solvers are designed to avoid redundant function evaluations for identical parameter sets. They prioritize efficiency and will likely store previously calculated scores to avoid unnecessary re-computations.
However, there are a couple of things to keep in mind:
- There might be a small tolerance for parameter values being considered "equal." If your parameter values are very close but not strictly identical, the solver might re-evaluate.
- If you're using a custom objective function, it's possible it might re-evaluate even for identical parameter sets if it doesn't have built-in redundancy checks. Double-check your objective function for potential areas to optimize in this case.
Here are some recommendations:
- Whenever possible, ensure your parameter sets are unique to avoid any potential re-evaluations.
- If you're using a custom objective function, review it for opportunities to implement checks for identical parameter sets to prevent redundant calculations.
For more in-depth information, refer to the official documentation for gamultiobj: https://www.mathworks.com/help/gads/gamultiobj.html and paretosearch: https://www.mathworks.com/help/gads/paretosearch-algorithm.html.
