The following pages link to EGO (Q19615):
Displaying 50 items.
- Probability and convex set hybrid reliability analysis based on active learning kriging model (Q2278777) (← 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)
- Gaussian field on the symmetric group: prediction and learning (Q2293716) (← links)
- Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions (Q2294603) (← links)
- Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type (Q2296783) (← links)
- A Kriging-based active learning algorithm for mechanical reliability analysis with time-consuming and nonlinear response (Q2298781) (← links)
- High-dimensional Bayesian optimization with projections using quantile Gaussian processes (Q2300637) (← links)
- Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
- On the choice of the low-dimensional domain for global optimization via random embeddings (Q2301180) (← links)
- A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
- Combining Bayesian optimization and Lipschitz optimization (Q2303661) (← links)
- An adaptive divergence-based method for structural reliability analysis via multiple kriging models (Q2306804) (← links)
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space (Q2308910) (← links)
- Calibration experimental design considering field response and model uncertainty (Q2309083) (← 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)
- Adaptive Gaussian process emulators for efficient reliability analysis (Q2310644) (← links)
- Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
- Sparse kernel deep stacking networks (Q2319474) (← links)
- Estimating percentiles in computer experiments: a comparison of sequential-adaptive designs and fixed designs (Q2320886) (← links)
- A supermartingale approach to Gaussian process based sequential design of experiments (Q2325344) (← links)
- Molecular discovery by optimal sequential search (Q2334495) (← links)
- A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization (Q2342949) (← links)
- Sequential approximate optimization for discrete design variable problems using radial basis function network (Q2344703) (← links)
- Hybrid reliability analysis with both random and probability-box variables (Q2353316) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- An adaptive-topology ensemble algorithm for engineering optimization problems (Q2357899) (← links)
- Constrained problem formulations for power optimization of aircraft electro-thermal anti-icing systems (Q2357949) (← links)
- 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)
- Complete offline tuning of the unscented Kalman filter (Q2407164) (← 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)
- Lean optimization using supersaturated experimental design (Q2463598) (← links)
