'too many input arguments' error in Genetic Algorithm optimization toolbox
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I have a problem with my optimization code. I enter this code in matlab:
function Prob = objective_function()
rng default
% Indices
k = 15;
j = 2;
f = 10;
l = 5;
r0 = 6;
r = 6;
% Parameters
cr0 = randi([0 1],1,r0);
dr0f = randi([0 1],r0,f);
csl = randi([0 1],1,l);
cpjk = randi([0 1],j,k);
corj = randi([0 1],r,j);
pr0f = randi([0 1],r0,f);
cvjrk = randi([0 1],j,r,k);
% Objective Function
cb = zeros(r0,f);
cd = zeros(r,j);
cor = zeros(r0,f);
cr = zeros(j,k);
ctr = zeros(1,l);
cp2 = zeros(j,r,k);
for ii = 1:r0
for jj = 1:f
cb(ii,jj) = cr0(ii).*dr0f(ii,jj);
end
end
for ii = 1:r
for jj = 1:j
cd(ii,jj) = corj(ii,jj);
end
end
for ii = 1:r0
for jj = 1:f
cor(ii,jj) = pr0f(ii,jj);
end
end
for ii = 1:j
for jj = 1:k
cr(ii,jj) = cpjk(ii,jj);
end
end
for ii = 1:l
ctr(ii) = csl(ii);
end
for ii = 1:j
for jj = 1:r
for kk = 1:k
cp2(ii,jj,kk) = cvjrk(ii,jj,kk);
end
end
end
obj = sum([cb(:);cd(:);cor(:);cr(:);ctr(:);cp2(:)]);
Prob.obj = obj;
disp(obj);
Prob.k = k;
Prob.j = j;
Prob.f = f;
Prob.l = l;
Prob.r0 = r0;
Prob.r = r;
Prob.cr0 = cr0;
Prob.dr0f = dr0f;
Prob.csl = csl;
Prob.cpjk = cpjk;
Prob.corj = corj;
Prob.pr0f = pr0f;
Prob.cvjrk = cvjrk;
Prob.cb = cb;
Prob.cd = cd;
Prob.cor = cor;
Prob.cr = cr;
Prob.ctr = ctr;
Prob.cp2 = cp2;
Prob = obj;
end
I want to solve this problem with genetic algorithm but when I use optimization toolbox and select 'ga' for solving the model, then I encounter with ' Too many input arguments' error. Whereas when I solve this problem with 'Linprog', I haven't receive any error. How I can solve this problem with ga?
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