Abstract: In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features. To ...
Abstract: Evolutionary algorithms (EAs) exhibit diverse performance across different optimization problems, making the automated selection of the most suitable EA an important yet challenging task.
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