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.
- Scalarizing cost‐effective multi‐objective optimization algorithms made possible with kriging (Q3534585) (← links)
- A hybrid one‐then‐two stage algorithm for computationally expensive electromagnetic design optimization (Q3591214) (← links)
- Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
- A Survey of Some Model-Based Methods for Global Optimization (Q4593607) (← links)
- Adaptive Simulation Selection for the Discovery of the Ground State Line of Binary Alloys with a Limited Computational Budget (Q4604867) (← links)
- (Q4622762) (← links)
- Uncertainty quantification and optimal decisions (Q4647203) (← links)
- Product Family Design Optimization Using Model-Based Engineering Techniques (Q4685799) (← links)
- Optimization Employing Gaussian Process-Based Surrogates (Q4689219) (← links)
- Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design (Q4960979) (← links)
- Handling of Constraints in Efficient Global Optimization (Q4987284) (← links)
- (Q4998866) (← links)
- Line of sight controller tuning using Bayesian optimisation: application to a double stage stabilisation platform (Q5025811) (← links)
- Sequential approximate optimization with adaptive parallel infill strategy assisted by inaccurate Pareto front (Q5058417) (← links)
- Solving bi-level optimization problems in engineering design using kriging models (Q5058779) (← links)
- Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method (Q5058821) (← links)
- Kriging-based unconstrained global optimization through multi-point sampling (Q5059380) (← links)
- Multi-fidelity algorithms for the horizontal alignment problem in road design (Q5059454) (← links)
- Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances (Q5060781) (← links)
- A Multilevel Simulation Optimization Approach for Quantile Functions (Q5084670) (← links)
- Escaping local minima with local derivative-free methods: a numerical investigation (Q5093686) (← links)
- SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems (Q5131689) (← links)
- Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints (Q5139625) (← links)
- (Q5148927) (← links)
- Learning Enabled Constrained Black-Box Optimization (Q5153491) (← links)
- (Q5155331) (← links)
- A statistical model-based algorithm for ‘black-box’ multi-objective optimisation (Q5172540) (← links)
- (Q5214214) (← links)
- Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models (Q5237167) (← links)
- Layers of Experiments with Adaptive Combined Design (Q5249466) (← links)
- Global Optimization of Interplanetary Transfers with Deep Space Maneuvers Using Differential Algebra (Q5270069) (← links)
- Surrogate‐based methods for black‐box optimization (Q5278217) (← links)
- Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets (Q5739794) (← links)
- Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model (Q5741199) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- A surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategy (Q5746706) (← links)
- Cross-Validation--based Adaptive Sampling for Gaussian Process Models (Q5862906) (← links)
- An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems (Q5882392) (← links)
- Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios (Q5886361) (← links)
- Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (Q5963824) (← links)
- An improved mode-pursing sampling method that balances global exploration and local exploitation based on kriging (Q6048511) (← links)
- Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (Q6053801) (← links)
- Disciplinary proper orthogonal decomposition and interpolation for the resolution of parameterized multidisciplinary analysis (Q6070094) (← links)
- Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization (Q6074062) (← links)
- Granular sieving algorithm for selecting best n$$ n $$ parameters (Q6087609) (← links)
- Multi-fidelity surrogate-based optimal design of road vehicle suspension systems (Q6088558) (← links)
- Improving adaptive seamless designs through Bayesian optimization (Q6089921) (← links)
- An efficient global optimization method with multi-point infill sampling based on kriging (Q6094567) (← links)
- Portfolio allocation strategy for active learning kriging-based structural reliability analysis (Q6097628) (← links)
- Gradient enhanced Gaussian process regression for constitutive modelling in finite strain hyperelasticity (Q6120133) (← links)
