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arXiv · 1902.03983

Interaction-Transformation Evolutionary Algorithm for Symbolic Regression

Fabricio Olivetti de Franca·Guilherme Seidyo Imai Aldeia
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Abstract

The Interaction-Transformation (IT) is a new representation for Symbolic Regression that restricts the search space into simpler, but expressive, function forms. This representation has the advantage of creating a smoother search space unlike the space generated by Expression Trees, the common representation used in Genetic Programming. This paper introduces an Evolutionary Algorithm capable of evolving a population of IT expressions supported only by the mutation operator. The results show that this representation is capable of finding better approximations to real-world data sets when compared to traditional approaches and a state-of-the-art Genetic Programming algorithm.

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Fabricio Olivetti de Franca, Guilherme Seidyo Imai Aldeia. 2019-02-11. Interaction-Transformation Evolutionary Algorithm for Symbolic Regression. https://arxiv.org/abs/1902.03983

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