Pages that link to "Item:Q2890472"

The following pages link to State-of-the-art review: a user's guide to the brave new world of designing simulation experiments (Q2890472):

Displaying 33 items.

• Sensitivity analysis: a review of recent advances (Q320799) (← links)
• Generating and improving orthogonal designs by using mixed integer programming (Q420882) (← links)
• Optimization of concrete hollow brick using hybrid genetic algorithm combining with artificial neural networks (Q609944) (← links)
• Comparison of Monte Carlo simulations of cytochrome b\(_6\)f with experiment using Latin hypercube sampling (Q644489) (← links)
• An empirical comparison of some experimental designs for the valuation of large variable annuity portfolios (Q727671) (← links)
• Efficient experimental design tools for exploring large simulation models (Q843984) (← links)
• Pooled ANOVA (Q1023897) (← links)
• Controlled sequential factorial design for simulation factor screening (Q1026782) (← links)
• Using subsystem linear regression metamodels in stochastic simulation (Q1041953) (← links)
• Optimal operation policy for a sustainable recirculation aquaculture system for ornamental fish: simulation and response surface methodology (Q1652474) (← links)
• Small response surface designs for metamodel estimation (Q1869483) (← links)
• A probabilistic solution-generator for simulation (Q1869509) (← links)
• Sensitivity analysis by experimental design and metamodelling: case study on simulation in national animal disease control (Q1869659) (← links)
• An overview of the design and analysis of simulation experiments for sensitivity analysis (Q2387211) (← links)
• Efficient global optimization algorithm assisted by multiple surrogate techniques (Q2392755) (← links)
• A GRASP for simultaneously assigning and sequencing product families on flexible assembly lines (Q2393485) (← links)
• Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping (Q2426536) (← links)
• Government preparedness: using simulation to prepare for a terrorist attack (Q2462538) (← links)
• Factor screening for simulation with multiple responses: sequential bifurcation (Q2514818) (← links)
• Robust optimization in simulation: Taguchi and Krige combined (Q2815461) (← links)
• Making efficient simulation experiments interactively with a desktop simulation package (Q3156567) (← links)
• Estimating and Validating Nonlinear Regression Metamodels in Simulation (Q3447068) (← links)
• An algorithm for fast optimal Latin hypercube design of experiments (Q3567270) (← links)
• Simulation Designs for Quadratic Response Surface Models in the Presence of Model Misspecification (Q4032490) (← links)
• An Efficient Morris Method-Based Framework for Simulation Factor Screening (Q5139630) (← links)
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• Design and analysis of simulation experiments (Q5920400) (← links)
• Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments (Q6059419) (← links)
• Sensitivity analysis of hybrid microgrids with application to deployed military units (Q6080756) (← links)
• Data farming: methods for the present, opportunities for the future (Q6600106) (← links)
• Knowledge discovery in simulation data (Q6600113) (← links)
• Sequential Optimization in Locally Important Dimensions (Q6631884) (← links)
• A method using generative adversarial networks for robustness optimization (Q6638912) (← links)