Genetic algorithm - changing only few arguments - errors

I have to run the genetic algorithm by changing only C1,C2,C7 input arguments of the following function DL_Main_DPDPSCM

The remaining arguments are loaded through the file

data = load ('dpdpscm_data.mat');

function [ rho ] = DL_Main_DPDPSCM(x,C1,C2,C3,C4,C5,C6,C7,capae,capai,capaf,rti,rtp )

C1 = x(1);
C2 = x(2);
C7 = x(3);

I have written the fitness function as

fit = @(x) DL_Main_DPDPSCM(x);
[y,fval] = ga(fit,3);

It is showing errors in the user supplied fitness function.

where did i made the mistake and how to correct it

[John D'Errico]

Please don't use the answers as a thread, so adding an answer for every comment made. I've moved your answer into a comment for you.

Answer 1

[Walter Roberson]

https://www.mathworks.com/help/matlab/math/parameterizing-functions.html

[John D'Errico]

Moved an answer into a comment from "Mechanical Engineering"

"when i used nested function as shown in the documentation i am getting the error 'reference to a cleared variable' C1"

[Walter Roberson]

Please show your code.

[Kallam Haranadha Reddy]

I overcome that error of reference to a cleared variable, because in the main program there is a clear all statement. I removed that statement. But now i am getting the error index exceeds matrix dimensions. I issued the following commands.

fit = @(x) DL_Main_DPDPSCM(x,C1,C2,C3,C4,C5,C6,C7,capae,capai,capaf,rti,rtp);

[y,fval] = ga(fit,3);

Note :- C1 is a (8,4,12) array, C2 -(8,2,12)
C3 - [8,2,2,12] C4 [8,2,4,12], C5[8,2,12]
C6[8,2,12] C7[8,2,12] multi-dimensional arrays.

[Walter Roberson]

We need the code for the function where the error message is generated and a copy of the complete error message.

[Walter Roberson]

Hold on.... Your C1 C2 C7 are all 3d arrays but in your objective function you replace all of those arrays with the scalar value x(1) or x(2) or x(3). You know the x values are individually scalar? If you want to tune the entire array C2 at one time you need to tell ga that the number of variables is at least as high as the number of elements needed to fill the matrix