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

Business & Economics

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

Mathematics

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

Engineering & Materials Science

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