Pages that link to "Item:Q1038394"
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The following pages link to Constrained optimization in expensive simulation: novel approach (Q1038394):
Displaying 25 items.
- Error estimation properties of Gaussian process models in stochastic simulations (Q257244) (← links)
- Genetic-algorithm-based simulation optimization considering a single stochastic constraint (Q299850) (← links)
- Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO (Q322958) (← links)
- Importance of verifying queue model assumptions before planning with simulation software (Q439533) (← links)
- Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
- Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption (Q506438) (← links)
- Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions (Q614061) (← links)
- Continuous optimization via simulation using golden region search (Q621655) (← links)
- Optimal operation policy for a sustainable recirculation aquaculture system for ornamental fish: simulation and response surface methodology (Q1652474) (← links)
- Increasing the efficiency in integer simulation optimization: reducing the search space through data envelopment analysis and orthogonal arrays (Q1683098) (← links)
- A new approach to reducing search space and increasing efficiency in simulation optimization problems via the fuzzy-DEA-BCC (Q1718411) (← links)
- Regression and Kriging metamodels with their experimental designs in simulation: a review (Q1752155) (← links)
- An improved approach for estimating the hyperparameters of the Kriging model for high-dimensional problems through the partial least squares method (Q1793472) (← links)
- Design optimization under uncertainties of a mesoscale implant in biological tissues using a probabilistic learning algorithm (Q1990872) (← links)
- Expected improvement for expensive optimization: a review (Q2022176) (← links)
- Review and comparison of algorithms and software for mixed-integer derivative-free optimization (Q2114591) (← links)
- Entropy-based closure for probabilistic learning on manifolds (Q2220629) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- ARGONAUT: algorithms for global optimization of constrained grey-box computational problems (Q2359400) (← links)
- A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection (Q2931710) (← links)
- Response surface methodology with stochastic constraints for expensive simulation (Q3184448) (← links)
- On accuracy and efficiency of constrained reinitialization (Q3579858) (← links)
- A new metamodel-based method for solving semi-expensive simulation optimization problems (Q5373897) (← links)
- An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design (Q5415896) (← links)
- Probabilistic nonconvex constrained optimization with fixed number of function evaluations (Q6557610) (← links)
