Abstract: In order to improve performance of classifiers and raise the rate of correct recognition,application of the feature selection method to underwater targets recognition is studied.A new fitness evaluation is presented.Experimental results analyzed with the wine dataset and ship-radiated noise dataset show that the method is effective in selecting the feature subset that can describe the targets satisfactorily,and it has low dimensionality and can improve performance of the classifier.