Meta Model Based EA for Complex Optimization

Computer Science

• Function Evaluation 100%
• Fitness Function 80%
• Evolutionary Algorithms 60%
• Support Vector Machine 40%
• Optimization 40%
• Actual Function 40%
• Regression 40%
• Learning Approach 20%
• Underlying Assumption 20%
• Optimization Problem 20%
• Training Sample 20%
• Optimal Solution 20%
• Interpolation 20%
• Computation Time 20%
• Problem Domain 20%
• Search Technique 20%
• Benchmark Function 20%
• Contexts 20%
• Functions 20%
• Modeling 20%
• Approximation (Algorithm) 20%