Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems
Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and multimodal optimization problems. Ho...
| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SpringerOpen
2024-01-01
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| シリーズ: | Journal of Big Data |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s40537-023-00864-8 |