Abstract: Feature selection is one of the hot spots in the field of pattern recognition and data mining etc. A novel feature selection method, termed FeBES(Fcature Selection Based on (m+λ)-ES Evolutionary Strategy)，was proposed.Under the rule of optimization evaluation of features subset and (m+λ)-ES evolutionary strategy, a subset of features based on genetic algorithm was selected. Experimental results illustrate that the FeBES is effective for feature selection.

Key words: Rough sets, Feature selection, Uenetic algorithm, SVM