An Improved Teaching-Learning-Based Optimization with the Social Character of PSO for Global Optimization

Algorithm 2

TLBO().

Initialize (number of learners) and (number of dimensions)

Initialize learners and evaluate all learners

Donate the best learner as and the mean of all learners as

while (stopping condition not met)

   for each learner of the class % Teaching phase

     = round(1 + rand())

    Accept if is better than

   endfor

   for each learner of the class % Learning phase

    Randomly select one learner , such that

     if better

     else

     endif

    Accept if is better than

   endfor

  Update and

endwhile