MPDGGA chains multiple populations and applies an information-gain-ratio diversity operator to select minimal feature sets for intrusion detection, reporting highest accuracy on 10 of 11 tested datasets.
Feature subspace ensembles: A parallel classifier combination scheme using feature selection, in: Haindl, M., Kittler, J., Roli, F
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Multi-population Diversity-guided Genetic Algorithm for Feature Selection in Network Intrusion Detection
MPDGGA chains multiple populations and applies an information-gain-ratio diversity operator to select minimal feature sets for intrusion detection, reporting highest accuracy on 10 of 11 tested datasets.