Evolutionary Multilabel Feature Selection Using Promising Feature Subset Generation

Algorithm 2

create function.

1: Input: neighbor population size e, probability model P

2: Output: neighbor set E (t)

3: 

4: for k = 1 to e do

5:  n ← random integer value in ⊳ set a feature subset size randomly

6:  S_k ← {}

7:  for i = 1 to n do

8:              ⊳ ranked features by Eq. (6)

9:   for j = 1 to do

10:     if >random value in [0,1] then

11:      

12:      break

13:     end if

14:    end for

15:   end for

16:  

17: end for