Classifying Human Voices by Using Hybrid SFX Time-Series Preprocessing and Ensemble Feature Selection

Pseudocode 1

Pseudocode of WSA.

Objective function f(x), 𝑥=𝑥₁,𝑥₂,…,𝑥_𝑑^𝑇

Initialize the population of wolves, 𝑥_𝑖 for 𝑖=1,2,…,𝑊

Define and initialize parameters:

𝑟 = radius of the visual range

𝑠 = step size by which a wolf moves at a time

𝛼 = velocity factor of wolf

𝑃_𝑒 = a user-defined threshold [0,1], that determines how frequently an enemy appears, so will the wolf escape

WHILE (𝑡< generations && stopping criteria not met)

 FOR 𝑖=1,…,𝑊 // for each wolf

  Prey_new_food_initiatively ();

  Generate_new_location ();

  // check whether the next location suggested by the random number generator is new. If not, repeat

   generating random location.

  IF(dist(𝑥_𝑖,𝑥_𝑗)<𝑟 && 𝑥_𝑖 is better as 𝑓(𝑥₁)<𝑓(𝑥_𝑗))

   𝑥_𝑖 moves towards 𝑥_𝑗 //  𝑥_𝑗 is at a better place than 𝑥_𝑖

  ELSE-IF

   𝑥_𝑖 = Prey_new_food_passively ();

  END-IF

  Generate_new_location ();

  IF (rand () >𝑝_𝑒)

   𝑥_𝑖=𝑥_𝑖+ rand () +𝑣;  // escape to a new position farther than 𝑣

  END-IF

 END-FOR

END-WHILE