Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares-Reference-Cited by-同舟云学术

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Initial Steps Towards Tackling High-dimensional Surrogate Modeling for Neuroevolution Using Kriging Partial Least Squares

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Stapleton Fergal¹²^ORCID,Galvan Edgar¹^ORCID

Affiliation:

1. Maynooth University, Kildare, Ireland

2. Hamilton Institute, Kildare, Ireland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596437

Reference15 articles.

1. Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction

2. M. A. Bouhlel , J. T. Hwang , N. Bartoli , R. Lafage , J. Morlier , and J. R. R. A. Martins . A python surrogate modeling framework with derivatives. Advances in Engineering Software, page 102662 , 2019 . M. A. Bouhlel, J. T. Hwang, N. Bartoli, R. Lafage, J. Morlier, and J. R. R. A. Martins. A python surrogate modeling framework with derivatives. Advances in Engineering Software, page 102662, 2019.

3. The origins of kriging

4. D. Dua and C. Graff . UCI machine learning repository , 2017 . D. Dua and C. Graff. UCI machine learning repository, 2017.

5. From evolutionary computation to the evolution of things

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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