Differential Evolution With Duplication Analysis for Feature Selection in Classification.By selecting a small subset of relevant features, feature selection can reduce the dimensionality of the problem while maintaining or increasing the discriminating ability of the data. 
Differential Evolution With Duplication Analysis for Feature Selection in Classification
To search for multiple optimal feature subsets, a niching-based differential evolution (DE) method with duplication analysis is proposed.  Second, the mutation operator in DE is improved, which uses both the niche and global information to produce promising feature subsets.  Third, a new selection method considering the diversity among feature subsets is adopted to form a new population for the next-generation. 
DE
To search for multiple optimal feature subsets, a niching-based differential evolution (DE) method with duplication analysis is proposed.  Second, the mutation operator in DE is improved, which uses both the niche and global information to produce promising feature subsets.  Third, a new selection method considering the diversity among feature subsets is adopted to form a new population for the next-generation. 
DE