MATLAB: Does simulation annealing minimize objective function which has non constant parameter

Main File

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a0 = [.0001 .0001 .0001 .0001 .0001 ];

w = linspace(0,pi,1000);

for i=1:length(w)

w_scal=w(i);

f =@(a)abc(a,w_scal);

[a_vec fval] = simulannealbnd(f,a0);

end

Function File

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function ARE = abc(a,w)

ERR = ((1/(j*w)) – ((a(1)*exp(2*j*w) + a(2)*exp(j*w) + a(3)) / (exp(2*j*w)+a(4)*exp(j*w) + a(5)))/(1/(j*w)));

ARE = sum(ERR.^2);

After estimating variables a(1),a(2)..a(5), the ARE's Plot w.r.t w(Omegha)is.

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But The plot should draw like these two graphs.

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Conclusively, coefficients a(1)….a(5) are not estimated correctly.

Thanks,

Nitin