Corpus ID: 108285816

A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions

@article{Virgolin2019AMG,
  title={A Model-based Genetic Programming Approach for Symbolic Regression of Small Expressions},
  author={M. Virgolin and T. Alderliesten and C. Witteveen and P. Bosman},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.02050}
}
The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP). Differently from traditional EAs where variation acts randomly, GOMEA learns a model of interdependencies within the genotype, i.e., the linkage, to estimate what patterns to propagate. In this article, we study the role of Linkage Learning (LL) performed by GOMEA in Symbolic Regression (SR). We show that the non… Expand

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