Shape-constrained multi-objective genetic programming for symbolic regression

Keyphrases

• Algorithm Analysis 33%
• C-convexity 33%
• Constrained multi-objective 100%
• Constraint Violation 33%
• Data-driven Model 33%
• Extrapolation Behavior 33%
• High-frequency Noise 33%
• Many-objective Evolutionary Algorithm (MaOEA) 33%
• Multi-objective Algorithm 66%
• Multi-objective Genetic Programming 100%
• Noise Level 33%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 66%
• Objective Algorithms 33%
• Out-of-domain 33%
• Penalty Method 66%
• Physics Textbook 33%
• Prediction Error 66%
• Regression Function 33%
• Shape Constraints 100%
• Single-objective 33%
• Symbolic Regression 100%
• Training Data 33%

Computer Science

• Constraint Violation 33%
• Genetic Algorithm 33%
• Genetic Programming 100%
• multi-objective evolutionary algorithm 33%
• Multiobjective 100%
• Non-Dominated Sorting Genetic Algorithm II 66%
• Prediction Error 66%
• Regression Function 33%
• Single Objective 33%
• Training Data 33%

Engineering

• Constraint Violation 50%
• Genetic Algorithm 50%
• Non-Dominated Sorting Genetic Algorithm II 100%
• Positivity 50%
• Prediction Error 100%
• Regression Function 50%
• Symbolics 100%