2024
DOI: 10.11591/ijece.v14i1.pp944-959
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Enhancing feature selection with a novel hybrid approach incorporating genetic algorithms and swarm intelligence techniques

Salsabila Benghazouani,
Said Nouh,
Abdelali Zakrani
et al.

Abstract: Computing advances in data storage are leading to rapid growth in large-scale datasets. Using all features increases temporal/spatial complexity and negatively influences performance. Feature selection is a fundamental stage in data preprocessing, removing redundant and irrelevant features to minimize the number of features and enhance the performance of classification accuracy. Numerous optimization algorithms were employed to handle feature selection (FS) problems, and they outperform conventional FS techniq… Show more

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