Memetic feature selection algorithm for multi-label classification
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.
multi-label feature selection memetic algorithm local refinement