Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression

Author:

Virgolin Marco1,Bosman Peter A. N.1

Affiliation:

1. Centrum Wiskunde & Informatica, Amsterdam, the Netherlands

Publisher

ACM

Reference43 articles.

1. Genetic programming as a model induction engine

2. Luca Biggio , Tommaso Bendinelli , Alexander Neitz , Aurelien Lucchi , and Giambattista Parascandolo . 2021 . Neural Symbolic Regression that Scales . In International Conference on Machine Learning. PMLR, 936--945 . Luca Biggio, Tommaso Bendinelli, Alexander Neitz, Aurelien Lucchi, and Giambattista Parascandolo. 2021. Neural Symbolic Regression that Scales. In International Conference on Machine Learning. PMLR, 936--945.

3. Léon Bottou . 2010. Large-scale machine learning with stochastic gradient descent . In Proceedings of COMPSTAT. Springer , 177--186. Léon Bottou. 2010. Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT. Springer, 177--186.

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