19 citations · 53 across the 9 of their papers we have counts for
3 papers · 1 filter
Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression
Lukas Kammerer, Gabriel Kronberger, Deaglan J. Bartlett +3
We analyze the effect of optimizing the initial population of genetic programming (GP) for symbolic regression (SR) on the accuracy and complexity of solutions. We compare three we…
Vectorial Genetic Programming -- Optimizing Segments for Feature Extraction
Philipp Fleck, Stephan Winkler, Michael Kommenda +1
Vectorial Genetic Programming (Vec-GP) extends GP by allowing vectors as input features along regular, scalar features, using them by applying arithmetic operations component-wise…
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection
Gabriel Kronberger, Stephan Winkler, Michael Affenzeller +2
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…