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Found 4 papers, 1 papers with code
Vectorial Genetic Programming -- Optimizing Segments for Feature Extraction
The presented results indicate, that the different random sampling strategies do not impact the overall algorithm performance significantly, and that the guided strategies suffer from becoming stuck in local optima.
Identifying Differential Equations to predict Blood Glucose using Sparse Identification of Nonlinear Systems
Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications.
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data
This contribution discusses the role of symbolic regression in Materials Science (MS) and offers a comprehensive overview of current methodological challenges and state-of-the-art results.
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection
Genetic programming is a powerful heuristic search technique that is used for a number of real world applications to solve among others regression, classification, and time-series forecasting problems.
