The following pages link to (Q4640242):
Displaying 15 items.
- A Bayesian optimization approach to find Nash equilibria (Q116040) (← links)
- Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification (Q785638) (← links)
- Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise (Q1668809) (← links)
- On convergence rate of a rectangular partition based global optimization algorithm (Q1754460) (← links)
- On the search of the shape parameter in radial basis functions using univariate global optimization methods (Q2022236) (← links)
- Safe global optimization of expensive noisy black-box functions in the \(\delta \)-Lipschitz framework (Q2156906) (← links)
- Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives (Q2199788) (← links)
- A hybrid of Bayesian approach based global search with clustering aided local refinement (Q2206585) (← links)
- Bi-objective decision making in global optimization based on statistical models (Q2274848) (← links)
- Special issue: SAGO 2008. Selected papers based on the presentations at the international workshop stochastic and applied global optimization, Skukuza Camp, South Africa, July 19--22, 2008 (Q2275798) (← links)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (Q2414108) (← links)
- (Q4000303) (← links)
- A Partition Based Bayesian Multi-objective Optimization Algorithm (Q5122343) (← links)
- Learning Enabled Constrained Black-Box Optimization (Q5153491) (← links)
- Bayesian optimization based on simulation conditionally to subvariety (Q6629031) (← links)
