Not enough input arguments
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Hi, I'm trying to turning a genetic algorithm for the following function :
function L=fonction(x1,x2,x3)
L=abs(118.04-(x1.*218.46+x2.*31.09+x3.*125.61));
end
but when i wrote the following command :
[x1,x2,x3,Fval,exitFlag,Output] = ga(@fonction,3);
fprintf('The number of generations was : %d\n', Output.generations);
fprintf('The number of function evaluations was : %d\n', Output.funccount);
fprintf('The best function value found was : %g\n', Fval);
matlab return this error :
Error using fonction (line 2)
Not enough input arguments.
Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11)
fcn_handle = @(x) fcn(x,FcnArgs{:});
Error in fcnvectorizer (line 14)
y(i,:) = feval(fun,(pop(i,:)));
Error in makeState (line 47)
Score = fcnvectorizer(state.Population(initScoreProvided+1:end,:),FitnessFcn,1,options.SerialUserFcn);
Error in gaunc (line 41)
state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);
Error in ga (line 351)
[x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...
Caused by:
Failure in user-supplied fitness function evaluation. GA cannot continue.
Please help
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