
Source-code of GWO algorithm in Matlab 211
16.2.8 Description of the GWO algorithm
• Parameters initialization. The standard grey wolf optimizer algorithm
starts by initializing the parameters of the population size n, the parameter
a and the maximum number of iterations Max
itr
.
• Iteration initialization. Initialize the iteration counter t.
• Initial population generation. The initial population n is randomly gen-
erated.
• Solution evaluation. In the population, each search agent (solution)
X
i
is
evaluated by calculating its fitness function f (
X
i
).
• Assign the overall best three solutions. The overall best three solutions
are assigned which are the ...