multi-objective feature selection by mrmr performance number_features?

hi

I'm looking for select feature set that Most relevance with the label and minimum redundancy with each other and also Have the minimum number of attributes and best perormance metrics(F-measure,accuracy and AUC); how can i do this with multi-objective feature selection?(mrmr performance operator + performance (attribute count) operator + cross validation operator)