An enhanced multi-strategy educational competition optimizer for numerical optimization
Zihan Li, Tianmin Zhang, Hongzhen Hu · 2026
Read An enhanced multi-strategy educational competition optimizer for numerical optimization by Zihan Li, Tianmin Zhang, Hongzhen Hu (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/PMC13473465.txt.
Description
Zihan Li, Tianmin Zhang, and Hongzhen Hu present an upgraded search algorithm in 2026 for hard math problems with many possible answers. The base method mimics school contests, where learners improve through rounds of rivalry. The upgrade adds an early stage that spreads search points wider, plus a late stage that sharpens the best finds. A restart step jolts stuck points back into motion.
Tests ran against six rival methods on standard problem sets with up to one hundred unknowns. The new method ranked first or near first across all sizes tried. Seven real design tasks, from beams to pressure tanks, confirmed the gains hold outside test sets. Engineers gain a steadier tool for tuning complex designs.
Catalog record
| CREATOR | Zihan Li, Tianmin Zhang, Hongzhen Hu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 90686 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |