Algorithm 1: Pseudocode for the proposed CF-SSOA

Input: Extracted features $s_i$     Output: Selected feature $x_j$     Begin     Generate initial swarm population     Initialize the food source $\mathrm{\Gamma }$     For $i=1:n$            Compute the fitness $f\left(s_i\right)$ of each $s_i$            Choose the leader $s_i^L$ and followers $s_i^F$            While $\left(i<Y\right)$                         Update ${\xi }^1=2\cdot \exp {\left(-\frac{4y}{Y}\right)}^2$                         Calculate the correlation factor ${\tau }^1,{\tau }^2$                         If $i==1$                                        Renew the position of leader                         Else                                        Keep posted the follower’s position                         End if                         Improve the salps based on upper and lower bounds            End while     End for     Return $x_j$     End