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BAHA: Binary artificial hummingbird algorithm for feature selection
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AI
DOI：10.1016/j.jocs.2025.102686.png)
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Abstract
En 中文
• Feature selection with meta-heuristic algorithms. • Improving the performance of artificial hummingbird algorithm (AHA) with binarization for feature selection problem. • Reducing the dimensions of the datasets along with increasing the accuracy of their classification simultaneously. • Wrapper method for feature selection. • An efficient solution to optimize large datasets.
Keywords:
feature selection
artificial hummingbird algorithm
binarization
wrapper method
dimensionality reduction
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