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.
- MISO: mixed-integer surrogate optimization framework (Q2357975) (← links)
- Robust design optimization for improving automotive shift quality (Q2358028) (← links)
- ARGONAUT: algorithms for global optimization of constrained grey-box computational problems (Q2359400) (← links)
- Exploring multi-stage shape optimization strategy of multi-body geometries using Kriging-based model and adjoint method (Q2361949) (← 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 continuation approach to mode-finding of multivariate Gaussian mixtures and kernel density estimates (Q2392778) (← links)
- Examples of inconsistency in optimization by expected improvement (Q2393071) (← links)
- A quasi-multistart framework for global optimization of expensive functions using response surface models (Q2393073) (← links)
- Global optimization of non-convex piecewise linear regression splines (Q2399484) (← links)
- Pseudo expected improvement criterion for parallel EGO algorithm (Q2399490) (← links)
- Gaussian process emulators for computer experiments with inequality constraints (Q2399826) (← links)
- Cross-validation estimation of covariance parameters under fixed-domain asymptotics (Q2401354) (← links)
- Complete offline tuning of the unscented Kalman filter (Q2407164) (← links)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (Q2414108) (← links)
- Efficient global optimization of constrained mixed variable problems (Q2416580) (← links)
- Conditional optimization of a noisy function using a kriging metamodel (Q2416583) (← links)
- A stochastic adaptive radial basis function algorithm for costly black-box optimization (Q2422135) (← links)
- Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems (Q2423810) (← links)
- Using adaptive multi-accurate function evaluations in a surrogate-assisted method for computer experiments (Q2431347) (← links)
- Optimal experimental design and some related control problems (Q2440603) (← links)
- Sequential approximate optimization using radial basis function network for engineering optimization (Q2443397) (← links)
- Uniform design over general input domains with applications to target region estimation in computer experiments (Q2445589) (← links)
- Lean optimization using supersaturated experimental design (Q2463598) (← links)
- Global optimization of stochastic black-box systems via sequential kriging meta-models (Q2494294) (← links)
- An adaptive neural network strategy for improving the computational performance of evolutionary structural optimization (Q2495625) (← links)
- Weld sequence optimization: the use of surrogate models for solving sequential combinatorial problems (Q2495639) (← links)
- Tracking global optima in dynamic environments with efficient global optimization (Q2630219) (← links)
- Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes (Q2637600) (← links)
- An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization (Q2660961) (← links)
- High-dimensional black-box optimization under uncertainty (Q2669612) (← links)
- Bayesian optimization with partially specified queries (Q2673324) (← links)
- Properties and comparison of some kriging sub-model aggregation methods (Q2676512) (← links)
- A credible interval analysis method for uncertain structures under nonprobabilistic framework (Q2678549) (← links)
- Bayesian updating with two-step parallel Bayesian optimization and quadrature (Q2679499) (← links)
- Machine learning-based multi-objective optimization for efficient identification of crystal plasticity model parameters (Q2679509) (← links)
- A general mathematical framework for constrained mixed-variable blackbox optimization problems with meta and categorical variables (Q2686978) (← links)
- Optimum design of nonlinear structures via deep neural network-based parameterization framework (Q2691035) (← links)
- Efficient parametric study of a stochastic airfoil system based on hybrid surrogate modeling with advanced automatic kriging construction (Q2692823) (← links)
- An efficient method for global optimization of black-box functions using one-dimensional interpolation and reduced design space (Q2795820) (← links)
- Sequential design for computer experiments with a flexible Bayesian additive model (Q2856566) (← links)
- Adaptive Uncertainty Quantification for Computational Fluid Dynamics (Q2864845) (← links)
- Nonlinear Metamodeling of Bulky Data and Applications in Automotive Design (Q2905442) (← links)
- Sequential Design for Optimal Stopping Problems (Q2941479) (← links)
- Monotone Emulation of Computer Experiments (Q2945157) (← links)
- On the Convergence Rates of Expected Improvement Methods (Q2957473) (← links)
- A Multicriteria Generalization of Bayesian Global Optimization (Q2958623) (← links)
- Optimal Learning in Linear Regression with Combinatorial Feature Selection (Q2960366) (← links)
- Sequential design for response surface model fit in computer experiments using derivative information (Q2974920) (← links)
- Surrogate-Based Methods (Q3020436) (← links)
