Kaifeng Yang and Michael Affenzeller.
Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging.
Procedia Computer Science, 200:954-961, 2022.
3rd International Conference on Industry 4.0 and Smart Manufacturing.
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Genetic Programming conference papers by Kaifeng Yang
Kaifeng Yang and Michael Affenzeller.
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. In
Evolutionary Multi-Criterion Optimization, 2023. Springer.
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Fu Xing Long and Diederick Vermetten and Anna V. Kononova and Roman Kalkreuth and Kaifeng Yang and Thomas Baeck and Niki van Stein.
Challenges of ELA-Guided Function Evolution Using Genetic Programming. In
Niki van Stein and Francesco Marcelloni and H. K. Lam and Marie Cottrell and Joaquim Filipe editors,
Proceedings of the 15th International Joint Conference on Computational Intelligence, IJCCI 2023, Rome, Italy, November 13-15, 2023, pages 119-130, 2023. SCITEPRESS.
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Genetic Programming other entries for Kaifeng Yang
Fu Xing Long and Diederick Vermetten and Anna V. Kononova and Roman Kalkreuth and Kaifeng Yang and Thomas Baeck and Niki van Stein.
Challenges of ELA-guided Function Evolution using Genetic Programming. 2023.
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