Pages that link to "Item:Q1281563"
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The following pages link to Efficient global optimization of expensive black-box functions (Q1281563):
Displaying 50 items.
- \texttt{CAMERA}: a method for cost-aware, adaptive, multifidelity, efficient reliability analysis (Q2099759) (← links)
- Geometrically consistent aerodynamic optimization using an isogeometric discontinuous Galerkin method (Q2107212) (← links)
- Optimal budget allocation policy for tabu search in stochastic simulation optimization (Q2108143) (← links)
- Generalized hierarchical expected improvement method based on black-box functions of adaptive search strategy (Q2109428) (← links)
- Interval uncertainty propagation by a parallel Bayesian global optimization method (Q2109600) (← links)
- A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features (Q2115607) (← links)
- Bayesian optimization with output-weighted optimal sampling (Q2123965) (← links)
- Integrating \(\varepsilon \)-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems (Q2124811) (← links)
- Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems (Q2127063) (← links)
- Symbolic DNN-tuner (Q2127252) (← links)
- Customized data-driven RANS closures for bi-fidelity LES-RANS optimization (Q2128496) (← links)
- Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems (Q2136471) (← links)
- A novel surrogate-model based active learning method for structural reliability analysis (Q2136699) (← links)
- Multi-fidelity design optimisation strategy under uncertainty with limited computational budget (Q2139153) (← links)
- Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints (Q2142219) (← links)
- Application of multi-objective Bayesian shape optimisation to a sharp-heeled Kaplan draft tube (Q2147911) (← links)
- Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation (Q2154181) (← links)
- Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations (Q2154461) (← links)
- Safe global optimization of expensive noisy black-box functions in the \(\delta \)-Lipschitz framework (Q2156906) (← links)
- Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique (Q2160447) (← links)
- Quantifying uncertainty with ensembles of surrogates for blackbox optimization (Q2162525) (← links)
- Identifying material parameters in crystal plasticity by Bayesian optimization (Q2168636) (← links)
- An efficient strategy for reliability-based multidisciplinary design optimization of twin-web disk with non-probabilistic model (Q2174716) (← links)
- Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (Q2175068) (← links)
- Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
- Topology optimization using material-field series expansion and Kriging-based algorithm: an effective non-gradient method (Q2180487) (← links)
- Oil sands extraction plant debottlenecking: an optimization approach (Q2182777) (← links)
- A discontinuous derivative-free optimization framework for multi-enterprise supply chain (Q2182779) (← links)
- Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
- Deterministic global derivative-free optimization of black-box problems with bounded Hessian (Q2182783) (← links)
- Probabilistic bisection with spatial metamodels (Q2184151) (← links)
- Enhanced variable-fidelity surrogate-based optimization framework by Gaussian process regression and fuzzy clustering (Q2184447) (← links)
- Food webs: experts consuming families of experts (Q2199233) (← links)
- Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization (Q2200087) (← links)
- A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization (Q2200665) (← links)
- An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs (Q2203403) (← links)
- A hybrid of Bayesian approach based global search with clustering aided local refinement (Q2206585) (← links)
- Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
- High-dimensional Bayesian optimization using low-dimensional feature spaces (Q2217451) (← links)
- A surrogate-based cooperative optimization framework for computationally expensive black-box problems (Q2218881) (← links)
- A concurrent implementation of the surrogate management framework with application to cardiovascular shape optimization (Q2218904) (← links)
- A local search method for costly black-box problems and its application to CSP plant start-up optimization refinement (Q2218908) (← links)
- An efficient method combining active learning kriging and Monte Carlo simulation for profust failure probability (Q2219160) (← links)
- Entropy-based closure for probabilistic learning on manifolds (Q2220629) (← links)
- Physics-informed cokriging: a Gaussian-process-regression-based multifidelity method for data-model convergence (Q2222351) (← links)
- Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments (Q2222548) (← links)
- A practical method for well log data classification (Q2225352) (← links)
- A comparative study on surrogate models for SAEAs (Q2228425) (← links)
- Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets (Q2236928) (← links)
- Robust topology optimization for fiber-reinforced composite structures under loading uncertainty (Q2237435) (← links)
