Feature selection (FS) is an important research topic in machine learning. Usually, FS modelled as a bi-objective optimization problem whose objectives are: 1) classification accuracy; 2) number of features. One the main issues real-world applications missing data. Databases with data are likely to be unreliable. Thus, performed on set some also In order directly control this issue plaguing fie...