A multi-strategy enhanced RIME-based metaheuristic with adaptive strategy collaboration for global optimization and art image segmentation
Xianmeng Zhao, Yutong Duan, Fan Liu · 2026
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Description
Xianmeng Zhao, Yutong Duan, and Fan Liu improve a frost inspired search algorithm in a 2026 paper. The base method, named for rime ice, weakens on hard search problems with many dimensions, many peaks, or image cutting tasks. Their enhanced version adds several strategies that adapt and cooperate as the search runs.
A mutation factor adjusts itself to balance wide exploration against fine tuning. A pool of update rules with different styles is picked by a feedback driven probability scheme, so effort flows to what works at each stage. On two standard benchmark suites the method beat rival optimizers in accuracy and robustness, taking the best average rank. It was also applied to art image segmentation.
Catalog record
| CREATOR | Xianmeng Zhao, Yutong Duan, Fan Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 178 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |