Multi-objective design optimization of cooling turbine blade based on kriging model

Engineering

• Aerodynamic Efficiency 33%
• Approximate Model 66%
• Blade Body 33%
• Blade Turbine 100%
• Design Optimization 100%
• Genetic Algorithm 33%
• Kriging Model 100%
• Latin-Hypercube Sampling 33%
• Non-Dominated Sorting Genetic Algorithm II 33%
• Optimization Method 33%
• Pareto Optimal Solution 33%
• Sample Point 33%
• Sampling Technique 33%
• Trailing Edge 33%