Pages that link to "Item:Q2290275"
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The following pages link to A surrogate based multi-fidelity approach for robust design optimization (Q2290275):
Displaying 16 items.
- The challenge of equality constraints in robust design optimization: examination and new approach (Q373912) (← links)
- Numerical integration in statistical decision-theoretic methods for robust design optimization (Q373980) (← links)
- A decoupling approach for time-dependent robust optimization with application to power semiconductor devices (Q821765) (← links)
- Robust optimization - a comprehensive survey (Q1033240) (← links)
- Multi-fidelity uncertainty quantification method with application to nonlinear structural response analysis (Q1985164) (← links)
- A surrogate assisted adaptive framework for robust topology optimization (Q1986862) (← links)
- A novel experimental data-driven exponential convex model for reliability assessment with uncertain-but-bounded parameters (Q1988713) (← links)
- Surrogate-based robust design for a non-smooth radiation source detection problem (Q2004893) (← links)
- Transfer learning based multi-fidelity physics informed deep neural network (Q2127006) (← links)
- FEM based robust design optimization with Agros and Ārtap (Q2217161) (← links)
- Towards `\(h\)-\(p\) \textit{adaptive}' generalized ANOVA (Q2309858) (← links)
- A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems (Q2310508) (← links)
- An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems (Q5882392) (← links)
- Probabilistic neural data fusion for learning from an arbitrary number of multi-fidelity data sets (Q6096443) (← links)
- Adaptive approximation-based multi-objective hybrid optimization method for dual-gradient top-hat structures (Q6151478) (← links)
- Surrogate-Based Reduced-Dimension Global Optimization in Process Systems Engineering (Q6487241) (← links)
