Pages that link to "Item:Q1660159"
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The following pages link to Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models (Q1660159):
Displaying 21 items.
- Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization (Q480834) (← links)
- ParEGO extensions for multi-objective optimization of expensive evaluation functions (Q506445) (← links)
- Branch and bound algorithms for maximizing expected improvement functions (Q710752) (← links)
- Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm (Q721156) (← links)
- A Kriging model-based expensive multiobjective optimization algorithm using R2 indicator of expectation improvement (Q779579) (← links)
- Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection (Q905751) (← links)
- Constrained optimization in expensive simulation: novel approach (Q1038394) (← links)
- Multi-objective optimization using statistical models (Q1728516) (← links)
- Expected improvement for expensive optimization: a review (Q2022176) (← links)
- Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak (Q2080764) (← links)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions (Q2294603) (← links)
- Multi-objective ordinal optimization for simulation optimization problems (Q2470041) (← links)
- Sequential Pareto Minimization of Physical Systems Using Calibrated Computer Simulators (Q4639569) (← links)
- A statistical model-based algorithm for ‘black-box’ multi-objective optimisation (Q5172540) (← links)
- (Q5493582) (← links)
- Evolutionary Multi-Criterion Optimization (Q5709881) (← links)
- Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (Q5963824) (← links)
- Deep Gaussian process for multi-objective Bayesian optimization (Q6050375) (← links)
- Mesh-Clustered Gaussian Process Emulator for Partial Differential Equation Boundary Value Problems (Q6637466) (← links)
