Why this gives error?

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Sadiq Akbar
Sadiq Akbar on 22 Nov 2022
Commented: Sadiq Akbar on 22 Nov 2022
I downloaded the attached codes " hPSO1.m", and "hPSOoptions.m" and tried to run it with my fitness function"myfitness.m" (also in the attachment) but it gives the following error:
Unrecognized function or variable 'options'.
Error in main (line 3)
[x,fval,gfx,output] = hPSO1(@main3, 4, options, varargin{:})

Answers (1)

Jan
Jan on 22 Nov 2022
Edited: Jan on 22 Nov 2022
This is the failing function:
function [x,fval,gfx,output] = main(varargin)
[x,fval,gfx,output] = hPSO1(@main3, 4, options, varargin{:})
end
As the error message tells clearly, the variable options is not defined. What do you expect it to be?
Of course you can use defined variables only. Because this is such fundamental for programming, I recommend to read the tutorial again: https://www.mathworks.com/learn/tutorials/matlab-onramp.html
In the next step the function hPSO1 will fail:
function [x,fval,gfx,output]=hPSO1(main3,4,hPSOoptions,varargin)
% ^ ???
Providing a constant in the list of inputs is not meaningful. How should Matlab handle this? It could consider the value 4 as defined?
In the function myfitness a comment character is missing in line 6:
K=3; 3rd constant
You see a corresponding warning in the editor. Consider and fix these warnings.
Although you got instructions how to improve this in two other of your questions already, you still use the slow and complicated form:
abc=0.0;
for m1=1:M*N
abc=abc+(abs(yo(m1,1)-ye(m1,1))).^2;
end
abc=abc/(M*N);
e=abc;
% Faster:
e = mean((yo - ye).^2);
  3 Comments
Sadiq Akbar
Sadiq Akbar on 22 Nov 2022
Thanks a lot for your kind response dear Jan. Actually if you look inside the "myfitness", I have a desired vector u. I want to estimate its value by using this hPSO1 algorithm. But how? That's the problem. When I run it, it gives me the error which I can't rectify. If you can, please rectify it, then guide me how to do it. The algorithm should return a solution vector having similar value or nearly similar value to u. You can ignore main.m. For this someone has advised me to do so.
I repeat: Just take the three functions namely "hPSO1", "hPSOoptions" and "myfitness". Now you have to run the algorithm hPSO1 which will call "myfitness" function and will use "hPSOoptions" also to find the solution vector. It should return a solution vector which must have the same value or nealry the same value as is u. Regards,

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