Resistance-capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems.

Ravichandran S, Manoharan P, Jangir P, Selvarajan S

Open source

DOI: 10.1038/s41598-023-42969-3
Published: 2023 Sep 23
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-023-42969-3,
  title = {Resistance-capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems.},
  author = {Ravichandran S and Manoharan P and Jangir P and Selvarajan S},
  year = {2023},
  journal = {Scientific reports},
  doi = {10.1038/s41598-023-42969-3},
  url = {https://doi.org/10.1038/s41598-023-42969-3}
}

RIS

TY  - JOUR
TI  - Resistance-capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems.
AU  - Ravichandran S
AU  - Manoharan P
AU  - Jangir P
AU  - Selvarajan S
PY  - 2023
JO  - Scientific reports
DO  - 10.1038/s41598-023-42969-3
UR  - https://doi.org/10.1038/s41598-023-42969-3
ER  -

APA

S, R., P, M., P, J., & S, S. (2023). Resistance-capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems.. Scientific reports. https://doi.org/10.1038/s41598-023-42969-3

Source records

pubmed · retrieved 2026-09-26T08:37:31.978Z
europe-pmc · retrieved 2026-09-26T08:37:31.989Z
doaj · retrieved 2026-09-26T08:37:31.970Z