Pages that link to "Item:Q381435"
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The following pages link to Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435):
Displaying 50 items.
- Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion: application to the multiobjective reliability-based optimization of space truss structures (Q381602) (← links)
- Efficient design of experiments for structural optimization using significance screening (Q381714) (← links)
- Combined small scale high dimensional model representation (Q445415) (← links)
- Multivariate data modelling through piecewise generalized HDMR method (Q445422) (← links)
- Auction optimization using regression trees and linear models as integer programs (Q511796) (← links)
- Fluctuation free multivariate integration based logarithmic HDMR in multivariate function representation (Q535318) (← links)
- A matrix based indexing HDMR method for multivariate data modelling (Q537983) (← links)
- An approximation method to model multivariate interpolation problems: indexing HDMR (Q636486) (← links)
- Constancy maximization based weight optimization in high dimensional model representation for multivariate functions (Q652711) (← links)
- Nash game based efficient global optimization for large-scale design problems (Q721150) (← links)
- SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications (Q743971) (← links)
- Fitness estimation based particle swarm optimization algorithm for layout design of truss structures (Q1718898) (← links)
- Optimizing stimulus waveforms for electroceuticals (Q1734657) (← links)
- A simplicial homology algorithm for Lipschitz optimisation (Q1756767) (← links)
- Registrar: a complete-memory operator to enhance performance of genetic algorithms (Q1928318) (← links)
- Graphical predetermination of optimal machine designs by iso-performance configuration modeling (Q1998551) (← links)
- Learning general sparse additive models from point queries in high dimensions (Q2007617) (← links)
- A new \texttt{DIRECT-GLh} algorithm for global optimization with hidden constraints (Q2047183) (← links)
- GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration (Q2069161) (← links)
- Numerical certification of Pareto optimality for biobjective nonlinear problems (Q2154462) (← links)
- Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models (Q2162034) (← links)
- Manifold learning for accelerating coarse-grained optimization (Q2194441) (← links)
- Approximating the Hausdorff distance by \(\alpha\)-dense curves (Q2236584) (← links)
- High dimensional kriging metamodelling utilising gradient information (Q2290871) (← links)
- A near-stationary subspace for ridge approximation (Q2310068) (← links)
- A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems (Q2310508) (← links)
- Modified screening-based kriging method with cross validation and application to engineering design (Q2310626) (← links)
- Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
- Tracking global optima in dynamic environments with efficient global optimization (Q2630219) (← links)
- Multi-fidelity cost-aware Bayesian optimization (Q2693418) (← links)
- Mini-Minimax Uncertainty Quantification for Emulators (Q2945172) (← links)
- Comparing sampling strategies for aerodynamic Kriging surrogate models (Q3143693) (← links)
- A new approach for multivariate data modelling in orthogonal geometry (Q3451413) (← links)
- (Q4558484) (← links)
- ANOVA-MOP: ANOVA Decomposition for Multiobjective Optimization (Q4561237) (← links)
- Sequential Predictive Scheduling in Partitioned Data Domains (Q4609764) (← links)
- Improved Moving Least Square-Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis (Q4987340) (← links)
- Multi-objective robust design optimization of fatigue life for a welded box girder (Q5058873) (← links)
- Interactive Multiple Criteria Decision Making for Large-Scale Multi-Objective Optimization Problems (Q5144884) (← links)
- The No Free Lunch Theorem: What Are its Main Implications for the Optimization Practice? (Q5153509) (← links)
- An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization (Q5172957) (← links)
- Global Sensitivity Analysis for Optimization with Variable Selection (Q5228363) (← links)
- Data-Driven Polynomial Ridge Approximation Using Variable Projection (Q5745137) (← links)
- Purposeful cross-validation: a novel cross-validation strategy for improved surrogate optimizability (Q6048037) (← links)
- A novel data-driven visualization of \(n\)-dimensional feasible region using interpretable self-organizing maps (iSOM) (Q6077657) (← links)
- A novel sampling method for adaptive gradient-enhanced kriging (Q6118505) (← links)
- KT-EGO: a knowledge transfer assisted efficient global optimization algorithm for solving high-dimensional expensive black-box problems (Q6193908) (← links)
- A sequential optimal Latin hypercube design method using an efficient recursive permutation evolution algorithm (Q6495533) (← links)
- Achieving robust design through statistical effect screening (Q6558903) (← links)
- Leveraging the nugget parameter for efficient Gaussian process modeling (Q6569246) (← links)
