| Name |
Last commit
|
Last update |
|---|---|---|
| Bibliography | ||
| Code | ||
| Manuscript | ||
| .codex | ||
| .gitignore | ||
| IntialScheme.txt | ||
| README.md | ||
| RESILINK_surrogate_optimization_manuscript_JMG.pdf | ||
| pyproject.toml |
- Updated manuscript title to reflect a focus on comparison of surrogate strategies for damage-aware optimization. - Improved clarity in the results section by refining descriptions of surrogate model performance and validation metrics. - Enhanced the discussion on the adaptive validation loop and its impact on optimization outcomes. - Clarified the interpretation of objective-function values and the implications of damage control in the optimization framework. - Added figures to illustrate the evolution of optimized window thicknesses and RBF objective surfaces during the optimization process.
| Name |
Last commit
|
Last update |
|---|---|---|
| Bibliography | Loading commit data... | |
| Code | Loading commit data... | |
| Manuscript | Loading commit data... | |
| .codex | Loading commit data... | |
| .gitignore | Loading commit data... | |
| IntialScheme.txt | Loading commit data... | |
| README.md | Loading commit data... | |
| RESILINK_surrogate_optimization_manuscript_JMG.pdf | Loading commit data... | |
| pyproject.toml | Loading commit data... |