Parameter-free optimization algorithm effective and precise solution of the optimal power flow problem
Saket Gupta, Neeraj Kumar, Mohd Zuhaib, Marwan Ahmad Abdullah Sufyan, Upma Singh, Sandeep Sharma, Vijay Bhuria, Ankita Gupta · 2026
Read Parameter-free optimization algorithm effective and precise solution of the optimal power flow problem by Saket Gupta, Neeraj Kumar, Mohd Zuhaib, Marwan Ahmad Abdullah Sufyan, Upma Singh, Sandeep Sharma, Vijay Bhuria, Ankita Gupta (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13473535.txt.
Description
Saket Gupta, Neeraj Kumar, and six co-authors apply a tuning-free optimizer to power grid operations. Their study, from twenty twenty-six, uses the Jaya algorithm on the optimal power flow problem. Grid operators must balance cost, losses, emissions, and voltage stability. Nature-inspired solvers help, but most need fiddly control settings.
Jaya needs no algorithm-specific parameters at all. Candidate solutions simply drift toward the best and away from the worst. That simplicity removes costly tuning rounds. The authors test several grid goals in turn. Rival methods supply the comparison baseline. Precise solutions support the case for parameter-free tools.
Catalog record
| CREATOR | Saket Gupta, Neeraj Kumar, Mohd Zuhaib, Marwan Ahmad Abdullah Sufyan, Upma Singh, Sandeep Sharma, Vijay Bhuria, Ankita Gupta |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 96 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |