A novel hybrid bat algorithm for solving continuous optimization problems
The Bat Algorithm (BA), which is a global optimization method, performs poorly on complex continuous optimization problems due to BA’s disadvantages such as the premature convergence problem. In this paper, we propose a novel Hybrid Bat Algorithm (HBA) to improve the performance of BA. Three modific...
| 主要な著者: | , , , , |
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| その他の著者: | |
| フォーマット: | Journal Article |
| 言語: | English |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/143802 |