MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank

Algorithm 1

The Framework of MOFSRank.

Input:  :  maximum generations of multi-objective instance selection, :  population size of

multi-objective instance selection, :  crossover probability of multi-objective instance selection,

:  mutation probability of multi-objective instance selection, :  maximum generations

of multi-objective feature selection, :  population size of multi-objective feature selection, :  crossover

probability of multi-objective feature selection, :  mutation probability of multi-objective

feature selection, :  maximum generations of multi-objective ensemble, :  population size of

multi-objective ensemble, :  crossover probability of multi-objective ensemble, :  mutation

probability of multi-objective ensemble;

Output:  The final selected feature subset ;

   Reading original Pairwise training data set;

/Instance Selection Phase/

   MOIS(,,,,);

/Feature Selection Phase/

   MOFS(,,,,);

/Ensemble Phase/

   MOEN(,,,,,);

  Return ;