Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects.

Song Y, Wang X, Li H, He Y, Zhang Z, Huang J

Open source

DOI
10.3390/ma15217830
Published
2022 Nov 6
Container
Materials (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/ma15217830,
  title = {Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects.},
  author = {Song Y and Wang X and Li H and He Y and Zhang Z and Huang J},
  year = {2022},
  journal = {Materials (Basel, Switzerland)},
  doi = {10.3390/ma15217830},
  url = {https://doi.org/10.3390/ma15217830}
}

RIS

TY  - JOUR
TI  - Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects.
AU  - Song Y
AU  - Wang X
AU  - Li H
AU  - He Y
AU  - Zhang Z
AU  - Huang J
PY  - 2022
JO  - Materials (Basel, Switzerland)
DO  - 10.3390/ma15217830
UR  - https://doi.org/10.3390/ma15217830
ER  -

APA

Y, S., X, W., H, L., Y, H., Z, Z., & J, H. (2022). Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects.. Materials (Basel, Switzerland). https://doi.org/10.3390/ma15217830

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