Shape-Constrained Symbolic Regression with NSGA-III.

Keyphrases

• Approximation Error 20%
• Benchmark Instances 20%
• Concavity 20%
• Constraint Violation 20%
• Data-driven Modeling 20%
• Expected Behaviour 20%
• Extrapolation Domain 20%
• Feasible Solution 20%
• Functional Form 20%
• Image Boundary 20%
• Multi-objective Approach 20%
• Noisy Data 20%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 100%
• Physics Textbook 20%
• Quality Model 40%
• Reliable Model 20%
• Specific Behavior 20%
• Symbolic Regression 100%

Computer Science

• Approximation (Algorithm) 50%
• Benchmark Instance 50%
• Constraint Violation 50%
• Feasible Solution 50%
• Functional Form 50%
• Image Boundary 50%
• Multiobjective 50%
• Non-Dominated Sorting Genetic Algorithm II 50%
• quality model 100%