Pages that link to "Item:Q1850837"
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The following pages link to A taxonomy of global optimization methods based on response surfaces (Q1850837):
Displaying 50 items.
- Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
- Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation (Q2192848) (← links)
- Manifold learning for accelerating coarse-grained optimization (Q2194441) (← links)
- Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
- A concurrent implementation of the surrogate management framework with application to cardiovascular shape optimization (Q2218904) (← links)
- Computationally efficient approach for solving lexicographic multicriteria optimization problems (Q2230779) (← links)
- Multi-fidelity analysis and uncertainty quantification of beam vibration using co-kriging interpolation method (Q2242133) (← links)
- Rapid design of metamaterials via multitarget Bayesian optimization (Q2245155) (← links)
- Engineering design applications of surrogate-assisted optimization techniques (Q2254199) (← links)
- Bi-objective decision making in global optimization based on statistical models (Q2274848) (← links)
- Coupling multi-fidelity Kriging and model-order reduction for the construction of virtual charts (Q2281513) (← links)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- Shape optimization of a cyclone separator using multi-objective surrogate-based optimization (Q2290582) (← links)
- Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments (Q2302488) (← links)
- A near-stationary subspace for ridge approximation (Q2310068) (← links)
- Optimization of expensive black-box problems via gradient-enhanced Kriging (Q2310272) (← links)
- A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems (Q2310508) (← links)
- Multi-fidelity optimization of super-cavitating hydrofoils (Q2310838) (← links)
- Proper initialization is crucial for the Nelder-Mead simplex search (Q2311116) (← links)
- Deep collective matrix factorization for augmented multi-view learning (Q2320570) (← links)
- Non-intrusive subdomain POD-TPWL for reservoir history matching (Q2321882) (← links)
- Global optimization using Gaussian processes to estimate biological parameters from image data (Q2328256) (← links)
- Gauss-Christoffel quadrature for inverse regression: applications to computer experiments (Q2329776) (← links)
- A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization (Q2342949) (← links)
- Constrained problem formulations for power optimization of aircraft electro-thermal anti-icing systems (Q2357949) (← links)
- Integration of expert knowledge into radial basis function surrogate models (Q2358065) (← links)
- ARGONAUT: algorithms for global optimization of constrained grey-box computational problems (Q2359400) (← links)
- Exploiting active subspaces to quantify uncertainty in the numerical simulation of the hyshot II scramjet (Q2374810) (← links)
- Derivative-free optimization: a review of algorithms and comparison of software implementations (Q2392129) (← links)
- Efficient global optimization algorithm assisted by multiple surrogate techniques (Q2392755) (← links)
- A branch and bound algorithm for the global optimization of Hessian Lipschitz continuous functions (Q2393063) (← links)
- Examples of inconsistency in optimization by expected improvement (Q2393071) (← links)
- Bonferroni-based size-correction for nonstandard testing problems (Q2398972) (← links)
- Pseudo expected improvement criterion for parallel EGO algorithm (Q2399490) (← links)
- Complete offline tuning of the unscented Kalman filter (Q2407164) (← links)
- Kriging metamodeling for approximation of high-dimensional wave and surge responses in real-time storm/hurricane risk assessment (Q2449937) (← links)
- A combined global \& local search (CGLS) approach to global optimization (Q2494296) (← links)
- Tracking global optima in dynamic environments with efficient global optimization (Q2630219) (← links)
- A collaborative model calibration framework under uncertainty considering parameter distribution (Q2678557) (← links)
- Risk bounds when learning infinitely many response functions by ordinary linear regression (Q2686603) (← links)
- Multi-fidelity cost-aware Bayesian optimization (Q2693418) (← links)
- Optimized look-ahead tree policies: a bridge between look-ahead tree policies and direct policy search (Q2795793) (← links)
- Hermitian Interpolation Subject to Uncertainties (Q2838340) (← links)
- An adaptive and efficient greedy procedure for the optimal training of parametric reduced-order models (Q2952722) (← links)
- Sequential design for response surface model fit in computer experiments using derivative information (Q2974920) (← links)
- Characterization of a 3D defect using the expected improvement algorithm (Q3182809) (← links)
- Multi-objective turbomachinery optimization using a gradient-enhanced multi-layer perceptron (Q3184225) (← links)
- A novel sequential approximate optimization approach using data mining for engineering design optimization (Q3458843) (← links)
- Designing an Optimal Search Algorithm with Respect to Prior Information (Q3459676) (← links)
- The Bayesian Search Game (Q3459677) (← links)
