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Refine optimization methodology and enhance surrogate model descriptions in manuscript · e27d5af6Joaquín Irazábal González authored
- Clarified the description of FEM simulations and loading patterns based on device height. - Improved the explanation of damage indicators and their computation for optimization. - Updated the definitions of local shear distortion and its role in energy dissipation. - Enhanced the description of supervised ML surrogate models and their training process. - Added detailed hyperparameter search spaces for various models used in Bayesian optimization. - Revised the objective function formulation to emphasize damage control and energy dissipation balance. - Improved clarity in the penalty definitions for window and frame damage. - Summarized the validation process for optimized geometries and the iterative nature of the optimization loop.
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