Question: ` ` ` main.m & O global Ki global Z % Population size and stoppoing condition pop _ size = 3 0 ; ma: iter

```
main.m & O
global Ki
global Z
% Population size and stoppoing condition
pop_size=30;
ma: iter=100;
% Define your objective function's details here
fobj = @ObjectiveFunction;
variables_no=10;
lower_bound=1000; % can be a vector too
upper_bound=5000; % can be a vector too
Function_name='Fl';
[Silverback_Score,Silverback, convergence_curve]=GTO(pop_size,max_iter,lower_bound,upper_bound,variables_no,fobj);
figure
% Best optimal values for the decision variables
subplot(1,2,1)
parallelcoords(Silverback)
xlabel('Decision variables')
```
` ` ` main.m & O global Ki global Z % Population

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