Data-driven sustainable design of automobile seats: integrating surrogate modeling and multi-objective optimization

Shiwen Huang, Shibo Xu, Xuhui Chen

Open source

DOI: 10.1038/s41598-026-59091-9
Published: 2026-06-29
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59091-9,
  title = {Data-driven sustainable design of automobile seats: integrating surrogate modeling and multi-objective optimization},
  author = {Shiwen Huang and Shibo Xu and Xuhui Chen},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-59091-9},
  url = {https://doi.org/10.1038/s41598-026-59091-9}
}

RIS

TY  - JOUR
TI  - Data-driven sustainable design of automobile seats: integrating surrogate modeling and multi-objective optimization
AU  - Shiwen Huang
AU  - Shibo Xu
AU  - Xuhui Chen
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-59091-9
UR  - https://doi.org/10.1038/s41598-026-59091-9
ER  -

APA

Huang, S., Xu, S., & Chen, X. (2026). Data-driven sustainable design of automobile seats: integrating surrogate modeling and multi-objective optimization. Scientific Reports. https://doi.org/10.1038/s41598-026-59091-9

Source records

crossref · retrieved 2026-09-25T13:58:19.225Z