Choosing function sets with better generalisation performance for symbolic regression models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s10710-020-09391-4.pdf
Reference78 articles.
1. A. Agapitos, R. Loughran, M. Nicolau, S. Lucas, M. O’Neill, A. Brabazon, A survey of statistical machine learning elements in genetic programming. IEEE Trans. Evol. Comput. 23(6), 1029–1048 (2019)
2. R.M.A. Azad, C. Ryan, Variance based selection to improve test set performance in genetic programming, in GECCO’11: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation (ACM, Dublin, 2011), pp. 1315–1322
3. P. Barmpalexis, A. Karagianni, G. Karasavvaides, K. Kachrimanis, Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets. Int. J. Pharm. 551(1), 166–176 (2018). https://doi.org/10.1016/j.ijpharm.2018.09.026
4. M. Castelli, L. Manzoni, S. Silva, L. Vanneschi, A comparison of the generalization ability of different genetic programming frameworks, in IEEE Congress on Evolutionary Computation (CEC 2010) (IEEE Press, Barcelona, 2010)
5. Q. Chen, B. Xue, M. Zhang, Improving generalisation of genetic programming for symbolic regression with angle-driven geometric semantic operators. IEEE Trans. Evol. Comput. 23(3), 488–502 (2019). https://doi.org/10.1109/TEVC.2018.2869621
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