How do i minimze my fuzzy logic controller using genetic algorithm?

I am trying to minimize the function of my fuzzy logic controller using the genetic algorithm. Please find attached the code for the fuzzy logic controller. The error I keep getting is shown below when I use my call function ;

M=[14000,15555,16000,17000,18000,19000; 14555,15555,16000,17555,18530,19000] options = gaoptimset('InitialPopulation',M) [x fval] = ga(@FuzzyForecast,6, options)

Error using FuzzyForecast (line 9) Not enough input arguments.

Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11) fcn_handle = @(x) fcn(x,FcnArgs{:});

Error in makeState (line 47) firstMemberScore = FitnessFcn(state.Population(initScoreProvided+1,:));

Error in gaunc (line 40) state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);

Error in ga (line 356) [x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...

Caused by: Failure in initial user-supplied fitness function evaluation. GA cannot continue.

Answer 1

[Stephan]

Hi,

ga passes only one x with 6 entries to the objective function. Try the attached version. I could not test, since i do not have Fuzzy Logic Toolbox. The change are these lines at the beginning:

function z=FuzzyForecast(x)
x1 = x(1);
x2 = x(2);
x3 = x(3);
x4 = x(4);
x5 = x(5);
x6 = x(6);

The other lines are kept as they were.

Best regards

Stephan

[Honey Adams]

Thank you for your reply.It run twice and gave me the error below .

Error using evalfismex Illegal parameters in fisTriangleMf() --> a > b

Error in evalfis (line 83) [output,IRR,ORR,ARR] = evalfismex(input, fis, numofpoints);

Error in FuzzyForecast (line 52) u=evalfis(FLC_input,a);%evaluating output a.fis

Error in createAnonymousFcn>@(x)fcn(x,FcnArgs{:}) (line 11) fcn_handle = @(x) fcn(x,FcnArgs{:});

Error in fcnvectorizer (line 13) y(i,:) = feval(fun,(pop(i,:)));

Error in makeState (line 58) Score = fcnvectorizer(state.Population(initScoreProvided+2:end,:),FitnessFcn,1,options.SerialUserFcn);

Error in gaunc (line 40) state = makeState(GenomeLength,FitnessFcn,Iterate,output.problemtype,options);

Error in ga (line 356) [x,fval,exitFlag,output,population,scores] = gaunc(FitnessFcn,nvars, ...

Caused by: Failure in user-supplied fitness function evaluation. GA cannot continue.

[Stephan]

As i said i can not help solving this new error, due to missing toolbox for fuzzy.

Perhaps it is a good idea to ask this in a new question. Maybe someone other reads it here and can help.

The problem regarding ga seems to be solved.

[Honey Adams]

Thanks for your effort.I will ask.