The following pages link to EGO (Q19615):
Displaying 50 items.
- 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)
- Polymorphic uncertainty quantification for engineering structures via a hyperplane modelling technique (Q2160447) (← 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)
- 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)
- A novel nested stochastic Kriging model for response noise quantification and reliability analysis (Q2237444) (← links)
- Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian processes (Q2237721) (← links)
- Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation (Q2240278) (← links)
- A combined radial basis function and adaptive sequential sampling method for structural reliability analysis (Q2241757) (← links)
- Multi-fidelity surrogate-based optimization for decomposed buffer allocation problems (Q2241996) (← links)
- DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problems (Q2245001) (← links)
- Rapid design of metamaterials via multitarget Bayesian optimization (Q2245155) (← links)
- Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (Q2245306) (← links)
- Bayesian optimization using deep Gaussian processes with applications to aerospace system design (Q2245694) (← links)
- Bayesian optimization of variable-size design space problems (Q2245699) (← links)
- Efficient global optimization method via clustering/classification methods and exploration strategy (Q2245706) (← links)
- An improved Bayesian collocation method for steady-state response analysis of structural dynamic systems with large interval uncertainties (Q2245998) (← links)
- A virtual model architecture for engineering structures with twin extended support vector regression (T-X-SVR) method (Q2246326) (← links)
- Engineering design applications of surrogate-assisted optimization techniques (Q2254199) (← links)
- Contour estimation via two fidelity computer simulators under limited resources (Q2259100) (← links)
- One-dimensional nested maximin designs (Q2269596) (← links)
- Batch sequential designs for computer experiments (Q2270267) (← links)
- Efficient computation of expected hypervolume improvement using box decomposition algorithms (Q2274866) (← links)
- Kernel interpolation (Q2275648) (← links)
