In classification tasks, feature selection (FS) can reduce the data dimensionality and may also improve accuracy, both of which are commonly treated as two objectives in FS problems. Many meta-heuristic algorithms have been applied to solve problems they perform satisfactorily when problem is relatively simple. However, once datasets grows, their performance drops dramatically. This paper propo...