Pages that link to "Item:Q2070360"
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The following pages link to Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization (Q2070360):
Displaying 5 items.
- Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
- Data-driven construction of convex region surrogate models (Q2358021) (← links)
- Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization (Q6074062) (← links)
- Efficient hybrid Bayesian optimization algorithm with adaptive expected improvement acquisition function (Q6094430) (← links)
- Branch-and-Model: a derivative-free global optimization algorithm (Q6097758) (← links)
