AdaMoR-DDMOEA: Adaptive Model Selection with a Reliable Individual-Based Model Management Framework for Offline Data-Driven Multi-Objective Optimization

Engineering

• Multiobjective Optimization 100%
• Multiobjective Optimization Problem 100%
• Surrogate Model 100%
• Deep Neural Network 50%
• Engineering 50%
• Fitness Function 50%
• Objective Function 50%
• Pareto Optimal Solution 50%
• Selection Method 50%
• Airfoil 50%
• Historical Data 50%

Computer Science

• Multi-Objective Optimization 100%
• Management Framework 100%
• multi-objective evolutionary algorithm 100%
• Optimization Problem 50%
• Deep Neural Network 25%
• Extreme Gradient Boosting 25%
• Fitness Function 25%
• Objective Function 25%
• Multiobjective 25%
• Approximation (Algorithm) 25%
• Fold Cross Validation 25%
• Selection Method 25%
• Selection Strategy 25%
• Generalization Ability 25%
• Preferred Solution 25%

Chemical Engineering

• Deep Neural Network 100%