Chapter 1 Introduction
1.1 Surrogate Model
1.2 Design of Experiments
1.3 Global Sensitivity Analysis
1.4 Book Overview
Chapter 2 Optimal Latin Hypercube Design Using Local Search-based Genetic Algorithm
2.1 Optimal Latin Hypercube Design
2.2 Local Search-based Genetic Algorithm for LHD Optimization
2.3 Performance Comparison of Optimization Methods
2.4 Summary
Chapter 3 Active Learning of Multi-kernel Kriging Surrogate Models Using Regional Discrepancy and Space-filling Criteria
3.1 Formulation of Ensemble Surrogate Model
3.2 Ensemble Learning for Kriging Surrogate Models
3.3 Experimental Study
3.4 Summary
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