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EvaBoost is a machine learning method based on evolutionary algorithms over decision trees.
Salimans T. et al. Evolution Strategies as a Scalable Alternative to Reinforcement Learning (OpenAI) //arXiv preprint arXiv:1703.03864. – 2017.
Qiu C., Jiang L., Li C. Randomly selected decision tree for test-cost sensitive learning //Applied Soft Computing. – 2017. – Т. 53. – С. 27-33.
Krętowski M., Grześ M. Global learning of decision trees by an evolutionary algorithm //Information Processing and Security Systems. – Springer, Boston, MA, 2005. – С. 401-410.
Barros R. C. et al. A Survey of Evolutionary Algorithms for Decision-Tree Induction //IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). – 2012. – Т. 42. – №. 3. – С. 291-312.
Ramírez-Gallego S. et al. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees //Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. – Springer, Cham, 2016. – С. 47-58.
Datta S., Dev V. A., Eden M. R. Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction //Computers & Chemical Engineering. – 2017. – Т. 106. – С. 690-698.
Jurczuk K., Czajkowski M., Kretowski M. Evolutionary induction of a decision tree for large-scale data: a GPU-based approach //Soft Computing. – 2017. – Т. 21. – №. 24. – С. 7363-7379.
Seyed Ahad Zolfagharifar, Faramarz Karamizadeh. Developing a Hybrid Intelligent Classifier by using Evolutionary Learning (Genetic Algorithm and Decision Tree). Indian Journal of Science and Technology, 2016.
Oksel C. et al. Accurate and interpretable nanoSAR models from genetic programming-based decision tree construction approaches //Nanotoxicology. – 2016. – Т. 10. – №. 7. – С. 1001-1012.
Kosinski W. Advances in Evolutionary Algorithms. – 2008.
Castelli M. et al. Pruning Techniques for Mixed Ensembles of Genetic Programming Models //European Conference on Genetic Programming. – Springer, Cham, 2018. – С. 52-67.
Sikora R. et al. A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms //Handbook of Research on Organizational Transformations through Big Data Analytics. – IGi Global, 2015. – С. 43-53.
Sylvester J., Chawla N. V. Evolutionary Ensembles: Combining Learning Agents using Genetic Algorithms //AAAI Workshop on Multiagent Learning. – 2005. – С. 46-51.
Gagné C. et al. Ensemble Learning for Free with Evolutionary Algorithms ? //Proceedings of the 9th annual conference on Genetic and evolutionary computation. – ACM, 2007. – С. 1782-1789.