Gyro-top optimization: a physics-inspired metaheuristic for engineering optimization and feature selection.

Huang C, Wang M, Wang Z, Chen H.

DOI: 10.1016/j.jare.2026.06.033
Published: 2026-07-06
Container: J Adv Res
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.jare.2026.06.033,
  title = {Gyro-top optimization: a physics-inspired metaheuristic for engineering optimization and feature selection.},
  author = {Huang C and  Wang M and  Wang Z and  Chen H.},
  year = {2026},
  journal = {J Adv Res},
  doi = {10.1016/j.jare.2026.06.033},
  url = {https://doi.org/10.1016/j.jare.2026.06.033}
}

RIS

TY  - JOUR
TI  - Gyro-top optimization: a physics-inspired metaheuristic for engineering optimization and feature selection.
AU  - Huang C
AU  -  Wang M
AU  -  Wang Z
AU  -  Chen H.
PY  - 2026
JO  - J Adv Res
DO  - 10.1016/j.jare.2026.06.033
UR  - https://doi.org/10.1016/j.jare.2026.06.033
ER  -

APA

C, H., M, W., Z, W., & H., C. (2026). Gyro-top optimization: a physics-inspired metaheuristic for engineering optimization and feature selection.. J Adv Res. https://doi.org/10.1016/j.jare.2026.06.033

Source records

europe-pmc · retrieved 2026-09-25T03:33:44.545Z