Emotion Recognition Based on Framework of BADEBA-SVM

Algorithm 1

Binary adaptive differential evolution bat algorithm.

Require: Objective function Fitness(), =

Initialize the bat population , , , , and

Define pulse frequency at

Initialize pulse rate and the loudness

  while  t < Max number of iterations do

  Generate new solutions by adjusting frequency, and updating velocities and locations/solutions

   according to Eq.(1)-Eq.(3)

 if  rand >   then

  Select a solution among the best solutions

  Generate a local solution around the selected best solution

  end if

  Generate a new solution by flying randomly according to Eq.(4)

 if  rand<&&f()<f(x)  then

  Accept the new solutions

  Increase and reduce according to Eq.(5) and Eq.(6)

 end if

  Mutate using Eq. (14)

  Crossover operation using Eq.(8)

  Select operation using Eq.(9), find the current best x

  end while

Output Result