genetic algorithm 'too many input arguments'

I want to minimize a function with a constraint which has 8 inputs. The problem is I cannot call the by x(1), x(2),etc because they are generated in another program in each loop and thos variables are used in other places. Does anyone have suggestion?

[Walter Roberson]

Please show your code attempt, and show how the functions are being generated.

[Ali Meghdadi]

this is my constraint:

function NLPS  = LPS(Nwt, Nbat, Npv, tilt, TArray, KtArray, LArray, WindArray)

    EBatMax = 6.936*2*Nbat;
    EBatMin = 0.5*EBatMax;
    Ebat    = EBatMax;

    NLPS = 0;
    for i=1:8760
        T    = TArray(i);
        Kt   = KtArray(i);
        L    = LArray(i);
        Wind = WindArray(i);

        [B0, delta, w0, ws] = daily_beam(i,tilt);
        Epv = out_PV(Kt, Npv, T, B0, tilt, delta, w0, ws);
        Ewt = out_wt(Wind, Nwt);
        Generate = Epv + Ewt;
        [EBatNew, Gbat] = out_bat(Ebat, EBatMin, EBatMax, Generate, L);
        Ebat = EBatNew;
        Generate = Generate + Gbat;

        Net = L - Generate*0.9;
        if Net < 0
            NLPS = NLPS + 1;
        end
    end
end

this is the function to be minimized:

C=cost(Nbat,Nwt,Npv)

the inputs of NLPS are generated in other functions. genetic is supposed to generate some numbers for Nbat,Npv,Nbat and tilt in a way that minimizes the cost and also satisfies the constraint function.

Answer 1

[Walter Roberson]

Something like,

constraint_function = @(x) LPS(x(1), x(2), x(3), tilt, TArray, KtArray, LArray, WindArray);

??

[Ali Meghdadi]

yes exactly. I tried and I get 'too many input arguments". Do you have any idea what is wrong here?

[Ali Meghdadi]

I tried to simplify the issue optimizing this function `function z=f(x) f=(x(1)-2)^2+(x(2)-1)^2`. I input this in command window: [x fval]=ga(@f,2). But still I get same error!