Enhanced multi-objective optimization of a dimpled channel through evolutionary algorithms and multiple surrogate methods

Engineering

• Pareto Optimal Front 100%
• Pareto Optimal Solution 80%
• Kriging Model 80%
• Response Surface 80%
• Objective Function 60%
• Pressure Loss 60%
• Pareto Optimal 40%
• Higher Value 40%
• Surrogate Model 40%
• Multiobjective Optimization 20%
• Design Point 20%
• Optimization 20%
• Led Pitch 20%
• Nusselt Number 20%
• Recirculation 20%
• Design Space 20%
• Present Study 20%
• Geometric Parameter 20%
• Approximate Solution 20%
• Latin-Hypercube Sampling 20%
• Reynolds-Averaged Navier-Stokes 20%
• Vorticity 20%

Mathematics

• Pareto Optimal Front 100%
• Surfaces Approximation 80%
• Response Surface 80%
• Evolutionary Algorithm 60%
• Objective Function 60%
• Pareto Optimal 40%
• Multiobjective Optimization 20%
• Numerical Simulation 20%
• Nusselt Number 20%
• Present Study 20%
• Model Predict 20%
• Design Point 20%
• Function Value 20%
• Spacings 20%

Computer Science

• Pareto Optimal Solution 80%
• Response Surface 80%
• Objective Function 60%
• Multiobjective 40%
• Geometric Parameter 20%
• Approximate Solution 20%
• Optimal Region 20%
• Function Value 20%
• Numerical Analysis 20%
• Simulation Modeling 20%