Pages that link to "Item:Q905759"

The following pages link to Kriging-based infill sampling criterion for constraint handling in multi-objective optimization (Q905759):

Displaying 23 items.

• Analysis of multi-objective Kriging-based methods for constrained global optimization (Q263179) (← links)
• Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
• A Bayesian approach to constrained single- and multi-objective optimization (Q506449) (← links)
• A kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points (Q506469) (← links)
• A Kriging model-based expensive multiobjective optimization algorithm using R2 indicator of expectation improvement (Q779579) (← links)
• Expected improvement based infill sampling for global robust optimization of constrained problems (Q1642975) (← links)
• Filter-based adaptive Kriging method for black-box optimization problems with expensive objective and constraints (Q1987853) (← links)
• Expected improvement for expensive optimization: a review (Q2022176) (← links)
• Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization (Q2200087) (← links)
• A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization (Q2200665) (← links)
• A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
• Efficient reliability analysis based on adaptive sequential sampling design and cross-validation (Q2295337) (← links)
• Optimization of expensive black-box problems via gradient-enhanced Kriging (Q2310272) (← links)
• Enhancing infill sampling criteria for surrogate-based constrained optimization (Q2910636) (← links)
• (Q2992764) (← links)
• An efficient global optimization method with multi-point infill sampling based on kriging (Q6094567) (← links)
• Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem (Q6107000) (← links)
• Gradient enhanced Gaussian process regression for constitutive modelling in finite strain hyperelasticity (Q6120133) (← links)
• SMGO-\(\Delta\): balancing caution and reward in global optimization with black-box constraints (Q6191636) (← links)
• A surrogate-assisted a priori multiobjective evolutionary algorithm for constrained multiobjective optimization problems (Q6618151) (← links)
• Learning nonlinear constitutive models in finite strain electromechanics with Gaussian process predictors (Q6630898) (← links)
• Stretch-based hyperelastic constitutive metamodels via gradient enhanced Gaussian predictors (Q6643567) (← links)
• Pointwise expected hypervolume improvement for expensive multi-objective optimization (Q6667710) (← links)