Algorithm 1: Pseudocode BPSO in Feature Selection.

Input: n—number of particles (swarm size);

T—number of iteration;

nVar—number of variables;

Objective function;

Output:  Relevant features

1.   Start

2.   Initialize parameters of BPSO

3.   Initialize the swarm

4.   Repeat

5.   For each particle Do

6.   Evaluate particle’s fitness; (xbest)

7.   Update particle’s neighborhood best position; (gbest)

8.   End

9.   For each particle Do

10.    Update the particle’s velocity;

11.    Update the particle’s position;

12.    End

13.    Until the stopping condition is true;

14.    End