An Improved Teaching-Learning-Based Optimization with Differential Learning and Its Application

Algorithm 1

DLTLBO(⋅).

) Begin

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

() Initialize learners and evaluate all learners

() Donate and of the learner’s corresponding neighborhood

() while (stopping condition not met)

()   for each learner of the class    % Teacher phase

()      TF = round(1 + rand(0, 1))

()      for  

()         =   + rand ()

()     endfor

()     Select three learners randomly from the current class where

()     

()     for  

()       if ,   = ; else,   = ; endif

()     endfor

()     Accept if f() is better than

()   endfor

()   for each learner of the class    % Learner phase

()     Randomly select one learner , such that

()     if better

()      for  

()        = + rand ()

()      endfor

()     else

()      for

()        = + rand ()

()      endfor

()     endif

()     Accept if is better than

()  endfor

() endwhile

() end