Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization

Algorithm 1

Pseudo code of the HGGWA.

Initialize parameters a, A, C, population size N, and

Initialize population using OBL the strategy

t=0

While t<Ma

Calculate the fitness of all search agents

= the best search agent

= the second best search agent

= the third best search agent

for i = 1:N

Update the position of all search agents by equation (11)

end for

newP1←P except the

for i = 1:N-1

Generate newP2 by the Roulette Wheel Selection on newP1

end for

P←newP2 and

Generate subPs by the population partitioning mechanism on P

Select the individuals by crossover probability

for i = 1:N

Crossover each search agent by equation (17) and (18)

end for

Generate the , and by equation (19) on mutation probability

t = t+1

end while

Return