Error in the codes. Please help

Question

Paridhi Rai 2015-9-30

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/245962-error-in-the-codes-please-help

回答： Sanabil 2023-5-25

Error: File: Fitnessfunc_g.m Line: 17 Column: 1
This statement is not inside any function.
 (It follows the END that terminates the definition of the function
 "Fitnessfunc_g".)
Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)
fcn_handle = @(x) fcn(x,FcnArgs{:});
Error in makeState (line 48)
            firstMemberScore =
            FitnessFcn(state.Population(initScoreProvided+1,:));
Error in galincon (line 18)
state =
makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ga (line 351)
            [x,fval,exitFlag,output,population,scores] =
            galincon(FitnessFcn,nvars, ...
Error in GAgear (line 12)
[x,fval,exitflag,output]= ga(ObjectiveFunction,nvars,[],[],LB,UB);
Caused by:
    Failure in initial user-supplied fitness function evaluation. GA
    cannot continue.

The codes wriiten are as follows

We=(3.14*rho)*{x*m^2*z1*(1+a^2)-(D1^2-d0^2)*(l-bw)-n*dp^2*bw-(d1^2+d2^2)*x}/4000;\\objective function
function GAgear
clc
D=Data_g;
nvars=1;
LB=20;
UB=40;
ObjectiveFunction=@Fitnessfunc_g;
%ConstraintFunction=@Constraintfunc;
options=gaoptimset('StallGenLimit',4,'PopulationSize',10);
disp('Optimization in progress.....');
% Run GA
[x,fval,exitflag,output]= ga(ObjectiveFunction,nvars,[],[],LB,UB); 
% Display optimization results
disp('Optimization results:')
fprintf('Weight of best solution is: %6.8g\n',fval)
%fprintf('Number of function evaluations: %d\n',Z)
disp('Best solution:')
disp(x')

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Paridhi Rai 2015-9-30

编辑：Walter Roberson 2015-9-30

在 MATLAB Online 中打开

Sir, thanks for your reply. But still I am struggling.

My full code for Fitnessfunc_g is

function y = Fitnessfunc_g(x)
function y = Fitnessfunc_g(x)
We=0;
lw=2.5*m;
Dr = m*(a*z1 - 2.5);
Di= Dr-2*lw;
bw=3.5*m;
d0=d2+25;
dp=0.25*(Di-d0);
z2=(z1*D2)/D1;
D1=m*z1;
D2=a*m*z1;
N2=N1/a;
z2=(z1*D2)/D1;
b3=(4.97*(10^6)*H)/(N1*gamma);
b4=(4.97*(10^6)*H)/(N2*gamma);
We=(3.14*rho)*(x*m^2*z1*(1+a^2)-(D1^2-d0^2)*(l-bw)-n*dp^2*bw-(d1^2+d2^2)*x)/4000;
end
y=We;

Please help me.

the error given is

Error: File: Fitnessfunc_g.m Line: 19 Column: 1
This statement is not inside any function.
 (It follows the END that terminates the definition of the function
 "Fitnessfunc_g".)
Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)
fcn_handle = @(x) fcn(x,FcnArgs{:});
Error in makeState (line 48)
            firstMemberScore =
            FitnessFcn(state.Population(initScoreProvided+1,:));
Error in galincon (line 18)
state =
makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ga (line 351)
            [x,fval,exitFlag,output,population,scores] =
            galincon(FitnessFcn,nvars, ...
Error in GAgear (line 12)
[x,fval,exitflag,output,scores]=
ga(ObjectiveFunction,nvars,[],[],LB,UB);

Paridhi Rai 2015-10-1

Sir, I didnot get it. Please help me with this. If I didnt put the options then the error will be like the previous one.

Walter Roberson 2015-10-1

I was mistaken about the problem possibly being options not being a structure.

I do not know what the problem is.

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Answer 1

Aliyu Bagudu 2016-4-5

1
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/245962-error-in-the-codes-please-help#answer_216554

I had the same problem however, I was able figure out where the problem actually comes from. The problem comes from the formula GA uses to calculate the number children of the next generation and thus the number of selected parents. There are 3 types of children in GA: Elite children(specified by EliteCount), Crossover children(specified by crossoverFraction) and calculated as crossoverFraction*(populationSize - EliteCount), and mutation children (calculated using populationSize - EliteCount - crossover children). You don't specify number of mutation children, it is calculated.

So the problem comes from rounding when calculation crossover fraction. The rounding is done to the nearest integer. So for some combination of populationSize, crossoverFraction, and EiltCount, this can result in total number of children that is not equal to populationSize.

Number of parents is 2 times number of children for crossover children. For mutation number of parents is equal to number of children.

So do your calculations and make sure populationSize stay fixed.