Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification

Business & Economics

• Bayesian Model 46%
• Computer Experiments 49%
• Derivatives 29%
• Function Evaluation 92%
• Global Optimization 89%
• Model Uncertainty 77%
• Performance 12%
• Quantification 68%
• Radial Basis Function 91%
• Selection Criteria 69%
• Simulation Study 31%

Mathematics

• Bayesian Model 18%
• Computer Experiments 20%
• Derivative 10%
• Framework 18%
• Global Optimization 33%
• Model 5%
• Model Uncertainty 86%
• Optimization 12%
• Performance 9%
• Radial Basis Function 76%
• Simulation Study 11%
• Standards 9%
• Test function 17%

Engineering & Materials Science

• Derivatives 7%
• Experiments 3%
• Function evaluation 21%
• Global optimization 19%
• Set theory 5%
• Uncertainty 41%