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...
Збережено в:
| Автор: | |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2024-08-01
|
| Серія: | Mathematics |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2227-7390/12/16/2572 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|