Fast and Accurate Strategies for CFD-based Aerodynamic Shape Exploration in a System of Multi-Objective Evolutionary Algorithm

Keyphrases

• Airfoil 100%
• Surrogate Model 100%
• Many-objective Evolutionary Algorithm (MaOEA) 100%
• Shape Exploration 100%
• Process Optimization 50%
• Interpolation Method 50%
• CFD Simulation 50%
• Mach number 50%
• Computation Time 50%
• Number of Iterations 50%
• Solid Surface 50%
• Angle of Attack 50%
• Computational Efficiency 50%
• Computational Effort 50%
• Search Algorithm 50%
• Maximum Lift Coefficient 50%
• Multi-objective Genetic Algorithm 50%
• Pareto Optimal Solution 50%
• Mesh Size 50%
• Parameterized Algorithms 50%
• Quasi-steady-state Approximation 50%
• Margin of Error 50%
• Stochastic Approach 50%
• Smooth Transition 50%
• Airfoil Shape 50%
• Stochastic Optimization 50%
• MaxMax 50%
• Real-coded 50%
• Lift-to-drag Ratio 50%

Engineering

• Computational Fluid Dynamics 100%
• Airfoil 50%
• Max 33%
• Surrogate Model 33%
• Mach Number 16%
• Computational Time 16%
• Angle-of-Attack 16%
• Computational Effort 16%
• Quasi Steady State 16%
• Search Algorithm 16%
• Computational Efficiency 16%
• Maximum Lift Coefficient 16%
• Multiobjective Genetic Algorithm 16%
• Pareto Solution 16%
• Stochastic Approach 16%
• State Approximation 16%
• Lift to Drag Ratio 16%
• Mesh Size 16%
• Airfoil Shape 16%