Multi-strategy sparrow search algorithm with non-uniform mutation
Sparrow search algorithm (SSA) suffers from a tendency to fall into local optima, as well as a preference for zero locations. Therefore, to improve this drawback, we propose a non-uniform mutation sparrow search algorithm (NMSSA). In the initialization stage of the population, we introduce a tent ch...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Taylor & Francis Group
2022-12-01
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| シリーズ: | Systems Science & Control Engineering |
| 主題: | |
| オンライン･アクセス: | https://www.tandfonline.com/doi/10.1080/21642583.2022.2140723 |
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