Memetic feature selection algorithm for multi-label classification

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Jae-Sung Lee, Dae-Won Kim

Published: 2015, Last Modified: 07 Nov 2025Inf. Sci. 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We present a memetic feature selection algorithm for multi-label classification.•This method employs memetic procedures to refine the feature subsets found through GAs.•This hybridization improves the multi-label classification performance compared to counterparts.