Pages that link to "Item:Q5963824"

The following pages link to Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (Q5963824):

Displaying 21 items.

• Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
• A Bayesian approach to constrained single- and multi-objective optimization (Q506449) (← links)
• Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models (Q1660159) (← links)
• Benefits and application of tree structures in Gaussian process models to optimize magnetic field shaping problems (Q1793911) (← links)
• Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation (Q2240278) (← links)
• Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (Q2245306) (← links)
• Bi-objective decision making in global optimization based on statistical models (Q2274848) (← 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)
• A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
• Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization (Q5026209) (← links)
• Bayesian Optimization Allowing for Common Random Numbers (Q5060516) (← links)
• Multiobjective Tree-Structured Parzen Estimator (Q5076355) (← links)
• A Multilevel Simulation Optimization Approach for Quantile Functions (Q5084670) (← links)
• Combined Global and Local Search for Optimization with Gaussian Process Models (Q5084673) (← links)
• (Q5148929) (← links)
• Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles (Q5205563) (← links)
• (Q5276605) (← links)
• Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
• Deep Gaussian process for multi-objective Bayesian optimization (Q6050375) (← links)
• FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks (Q6333096) (← links)