how to minimize a function using Genetic Algorithm in matlab

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Indu Choudhary
Indu Choudhary 2020-3-12
I have the following code with function Y = 1000*log(1+4.5/((100-u*cos(theta)*(X))^2+(100+u*sin(theta)*X-4.9*...
(X)^2)^2));
I want to minimize this using GA optimtool. How could I do this because my function is calculated in a loop. So, how could I use the whole code as fitness function?
a = 0;
b = 6;
B = 1000;
u = 40;
theta = pi/12;
Int_simp = zeros(1,10);
disp(Int_simp);
for N = 1:10
sum_simp = 0;
dx=(b-a)/N;
for r = 1:N
X = a + ((r-1)*dx);
Y = 1000*log(1+4.5/((100-u*cos(theta)*(X))^2+(100+u*sin(theta)*X-4.9*...
(X)^2)^2));
if (mod(r,2) == 0)
coeff = 4;
else
coeff = 2;
end
if (r == 0)||(r == N)
coeff = 1;
end
sum_simp = sum_simp + (coeff*Y*dx*(1/3));
end
Int_simp(N) = sum_simp;
end
plot(Int_simp,'-sm');

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