A multi-strategy framework for enhancing Harris hawks optimization for global optimization problems
Abstract The standard Harris Hawks Optimization (HHO) algorithm often suffers from premature convergence and stagnation on complex, high-dimensional problems, particularly in wrapper-based feature selection (FS) for medical diagnosis, where costly fitness evaluations demand efficient search strategi...
保存先:
| 主要な著者: | , , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2026-03-01
|
| シリーズ: | Scientific Reports |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-026-45741-5 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|