Loop around a toolbox

2023 11 30
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更新时间：2023 11 30
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Dear community,
I have a question concerning the optimization toolbox.
I have used the optimization toolbox to solve a problem. And that is working fine so far.
Now, I would like to see the solutions for different input variables (let's say for values from 40 to 800) using a loop and store the solutions in a matrix.
The problem is, if I just wrap the editor in a loop (as I would do with usual code), I get an error.
I think MATLAB does not recognize that the "for N = 40:800" at the beginning of the editor and the "end" at the editor's end belong together.
Does somebody know a solution to this problem?
I really appreciate any help you can provide.

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Cris LaPierre
Cris LaPierre 2023-11-30
It would be helpful if you could share your code, as well as the full error message (all the red text).
Andrew
Andrew 2023-11-30
Ran in:
Ran in:
Hi, in the code below I have converted the task to editable code.
The error I get is: "Function definition are not supported in this context. Functions can only be created as local or nested functions in code files."
for N = 40:80
v = [1];
m = zeros(1,N);
for n = 1:N
m(n)=n;
end
nvar = 5;
LB = [5 0 -5 -10 -20];
UB = [40 3 5 20 20];
q = zeros(1,N);
% Pass fixed parameters to objfun
objfun3 = @(optimInput)objectiveFcn(optimInput,Daten,m,N,v);
% Set nondefault solver options
options3 = optimoptions("ga","PopulationSize",300,"MaxGenerations",400);
% Solve
[solution,objectiveValue] = ga(objfun3,nvar,[],[],[],[],LB,UB,[],[],options3);
% Clear variables
clearvars objfun3 options3
function f = objectiveFcn(optimInput, Daten, m, N, v)
Function definition are not supported in this context. Functions can only be created as local or nested functions in code files.
a = optimInput(1);
b = optimInput(2);
c = optimInput(3);
d = optimInput(4);
e = optimInput(5);
for n = 1:N
q(n) = (Daten(v,n)-(a*sin(b*m(n)+c) + (d+e*m(n))))^2;
end
f = sum(q);
end
end
Walter Roberson
Walter Roberson 2023-11-30
Your function definition is inside your for N loop.

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 采纳的回答

Matt J
Matt J 2023-11-30
Ran in:

0 个投票

Ran in:
This runs:
for N = 40:42 %<---shortened
Daten=rand(N);%<-----added
v = [1];
m = zeros(1,N);
for n = 1:N
m(n)=n;
end
nvar = 5;
LB = [5 0 -5 -10 -20];
UB = [40 3 5 20 20];
q = zeros(1,N);
% Pass fixed parameters to objfun
objfun3 = @(optimInput)objectiveFcn(optimInput,Daten,m,N,v);
% Set nondefault solver options
options3 = optimoptions("ga","PopulationSize",300,"MaxGenerations",400);
% Solve
[solution,objectiveValue] = ga(objfun3,nvar,[],[],[],[],LB,UB,[],[],options3);
% Clear variables
clearvars objfun3 options3
end
ga stopped because the average change in the fitness value is less than options.FunctionTolerance. ga stopped because the average change in the fitness value is less than options.FunctionTolerance. ga stopped because it exceeded options.MaxGenerations.
function f = objectiveFcn(optimInput, Daten, m, N, v)
a = optimInput(1);
b = optimInput(2);
c = optimInput(3);
d = optimInput(4);
e = optimInput(5);
for n = 1:N
q(n) = (Daten(v,n)-(a*sin(b*m(n)+c) + (d+e*m(n))))^2;
end
f = sum(q);
end

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