Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach.

Yu F, Zhang H, Zhang S, Zhang Y, Liu J, Hu M

Open source

DOI
10.1038/s41598-026-54224-6
Published
2026 Jun 11
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-54224-6,
  title = {Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach.},
  author = {Yu F and Zhang H and Zhang S and Zhang Y and Liu J and Hu M},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54224-6},
  url = {https://doi.org/10.1038/s41598-026-54224-6}
}

RIS

TY  - JOUR
TI  - Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach.
AU  - Yu F
AU  - Zhang H
AU  - Zhang S
AU  - Zhang Y
AU  - Liu J
AU  - Hu M
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54224-6
UR  - https://doi.org/10.1038/s41598-026-54224-6
ER  - 

APA

F, Y., H, Z., S, Z., Y, Z., J, L., & M, H. (2026). Multi-objective optimization of low-noise pervious concrete using a stacking ensemble learning and NSGA-II approach.. Scientific reports. https://doi.org/10.1038/s41598-026-54224-6

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