An Interpolation-Based Evolutionary Algorithm for Bi-Objective Feature Selection in Classification
When aimed at minimizing both the classification error and the number of selected features, feature selection can be treated as a bi-objective optimization problem suitable for solving with multi-objective evolutionary algorithms (MOEAs). However, traditional MOEAs may encounter difficulties due to...
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| Format: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2024-08-01
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| Col·lecció: | Mathematics |
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| Accés en línia: | https://www.mdpi.com/2227-7390/12/16/2572 |
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