Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance.

Jabari M, Izci D, Ekinci S, Bajaj M, Blazek V, Prokop L

Open source

DOI
10.1038/s41598-025-97070-8
Published
2025 Apr 15
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-97070-8,
  title = {Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance.},
  author = {Jabari M and Izci D and Ekinci S and Bajaj M and Blazek V and Prokop L},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-97070-8},
  url = {https://doi.org/10.1038/s41598-025-97070-8}
}

RIS

TY  - JOUR
TI  - Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance.
AU  - Jabari M
AU  - Izci D
AU  - Ekinci S
AU  - Bajaj M
AU  - Blazek V
AU  - Prokop L
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-97070-8
UR  - https://doi.org/10.1038/s41598-025-97070-8
ER  - 

APA

M, J., D, I., S, E., M, B., V, B., & L, P. (2025). Hybrid adaptive ant lion optimization with traditional controllers for driving and controlling switched reluctance motors to enhance performance.. Scientific reports. https://doi.org/10.1038/s41598-025-97070-8

Source records