Pages that link to "Item:Q2910636"
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The following pages link to Enhancing infill sampling criteria for surrogate-based constrained optimization (Q2910636):
Displaying 13 items.
- Analysis of multi-objective Kriging-based methods for constrained global optimization (Q263179) (← links)
- Surrogate-assisted multiobjective evolutionary algorithms for structural shape and sizing optimisation (Q474518) (← links)
- Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption (Q506438) (← links)
- A Bayesian approach to constrained single- and multi-objective optimization (Q506449) (← links)
- Balancing global and local search in parallel efficient global optimization algorithms (Q522283) (← 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)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- Pseudo expected improvement criterion for parallel EGO algorithm (Q2399490) (← links)
- Handling of Constraints in Efficient Global Optimization (Q4987284) (← links)
- Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search (Q6094531) (← links)
- An asynchronous parallel high-throughput model calibration framework for crystal plasticity finite element constitutive models (Q6164276) (← links)
- A kriging-assisted bi-objective constrained global optimization algorithm for expensive constrained optimization problems (Q6191893) (← links)
