A novel ensemble estimation of distribution algorithm with distribution modification strategies
Abstract The canonical estimation of distribution algorithm (EDA) easily falls into a local optimum with an ill-shaped population distribution, which leads to weak convergence performance and less stability when solving global optimization problems. To overcome this defect, we explore a novel EDA va...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Springer
2023-03-01
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| シリーズ: | Complex & Intelligent Systems |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s40747-023-00975-y |