How to fix this error : Not enough input arguments.

Hi Everyone, i am an Egnineering student new to MATLAB Coding and working on Coding arithmetic optimization Algorathim (AOA).

I keep Having this Erorr : Not enough input arguments.

Error in AOA_new6 (line 5)

Best_P=zeros(1,Dim);

i am trying to modifi the code for global optimization.

i added the code for refrence.

it's not my work.

function [Best_FF,Best_P,Conv_curve]=AOA_new6(N,M_Iter,LB,UB,Dim,fhd,Function_ID,Global_Opt)
disp('AOA Working');
%Two variables to keep the positions and the fitness value of the best-obtained solution

Best_P=zeros(1,Dim);
Best_FF=inf;
Conv_curve=zeros(1,M_Iter);

%Initialize the positions of solution
X=initialization(N,Dim,UB,LB);
Xnew=X;
Ffun=zeros(1,size(X,1));% (fitness values)
Ffun_new=zeros(1,size(Xnew,1));% (fitness values)

MOP_Max=1;
MOP_Min=0.2;
C_Iter=1;
Alpha=5;
Mu=0.499;


for i=1:size(X,1)
    %Ffun(1,i)=F_obj(X(i,:));  %Calculate the fitness values of solutions
    Ffun(1,i)=feval(fhd,X(i,:)',Function_ID);  %Calculate the fitness values of solutions
    if Ffun(1,i)<Best_FF
        Best_FF=Ffun(1,i);
        Best_P=X(i,:);
    end
end
    
    

while C_Iter<M_Iter+1  %Main loop
    MOP=1-((C_Iter)^(1/Alpha)/(M_Iter)^(1/Alpha));   % Probability Ratio 
    MOA=MOP_Min+C_Iter*((MOP_Max-MOP_Min)/M_Iter); %Accelerated function
   
    %Update the Position of solutions
    for i=1:size(X,1)   % if each of the UB and LB has a just value 
        for j=1:size(X,2)
           r1=rand();
            if (size(LB,2)==1)
                if r1<MOA
                    r2=rand();
                    if r2>0.5
                        Xnew(i,j)=Best_P(1,j)/(MOP+eps)*((UB-LB)*Mu+LB);
                    else
                        Xnew(i,j)=Best_P(1,j)*MOP*((UB-LB)*Mu+LB);
                    end
                else
                    r3=rand();
                    if r3>0.5
                        Xnew(i,j)=Best_P(1,j)-MOP*((UB-LB)*Mu+LB);
                    else
                        Xnew(i,j)=Best_P(1,j)+MOP*((UB-LB)*Mu+LB);
                    end
                end               
            end
            
           
            if (size(LB,2)~=1)   % if each of the UB and LB has more than one value 
                r1=rand();
                if r1<MOA
                    r2=rand();
                    if r2>0.5
                        Xnew(i,j)=Best_P(1,j)/(MOP+eps)*((UB(j)-LB(j))*Mu+LB(j));
                    else
                        Xnew(i,j)=Best_P(1,j)*MOP*((UB(j)-LB(j))*Mu+LB(j));
                    end
                else
                    r3=rand();
                    if r3>0.5
                        Xnew(i,j)=Best_P(1,j)-MOP*((UB(j)-LB(j))*Mu+LB(j));
                    else
                        Xnew(i,j)=Best_P(1,j)+MOP*((UB(j)-LB(j))*Mu+LB(j));
                    end
                end               
            end
            
        end
        
        Flag_UB=Xnew(i,:)>UB; % check if they exceed (up) the boundaries
        Flag_LB=Xnew(i,:)<LB; % check if they exceed (down) the boundaries
        Xnew(i,:)=(Xnew(i,:).*(~(Flag_UB+Flag_LB)))+UB.*Flag_UB+LB.*Flag_LB;
 
        %Ffun_new(1,i)=F_obj(Xnew(i,:));  % calculate Fitness function 
        Ffun_new(1,i)=feval(fhd,Xnew(i,:)',Function_ID);  %Calculate the fitness values of solutions

        if Ffun_new(1,i)<Ffun(1,i)
            X(i,:)=Xnew(i,:);
            Ffun(1,i)=Ffun_new(1,i);
        end
        if Ffun(1,i)<Best_FF
        Best_FF=Ffun(1,i);
        Best_P=X(i,:);
        end
       
    end
    

    %Update the convergence curve
    Conv_curve(C_Iter)=Best_FF-Global_Opt;
    
    %Print the best solution details after every 50 iterations
    if mod(C_Iter,50)==0
        display(['At iteration ', num2str(C_Iter), ' the best solution fitness is ', num2str(Best_FF-Global_Opt)]);
    end
     
    C_Iter=C_Iter+1;  % incremental iteration
   
end

[Abdulaziz Hassoun]

Should i define the variables : N,M_Iter,LB,UB,Dim,fhd,Function_ID,Global_Opt ?

Answer 1

[Constantino Carlos Reyes-Aldasoro]

Hello

Most probably you are not calling the function with all the necessary input parameters, look at this example in which there are 3 parameters required and I only pass 2.

test(2,3)

Not enough input arguments.

Error in solution>test (line 3)
out = a*b*c;

function out = test(a,b,c)
out = a*b*c;
end

[Abdulaziz Hassoun]

so i am calling less arguments that nedded ?

[Constantino Carlos Reyes-Aldasoro]

yes, most probably. Just to test try something like

[Best_FF,Best_P,Conv_curve]=AOA_new6(1,2,3,4,5,6,7,8)

The answer will be wrong and there may be other errors but not enough input arguments should disappear.

[Abdulaziz Hassoun]

Now i get this error : >> AOA_new6(1,2,3,4,5,6)

File: AOA_new6.m Line: 1 Column: 47

Invalid expression. Check for missing multiplication operator, missing or unbalanced delimiters, or other

syntax error. To construct matrices, use brackets instead of parentheses.

this solved the not enough arguments but how would i implement this modification to my code ?

Sorry my English is not the best.

[Constantino Carlos Reyes-Aldasoro]

Of course, that was just to pass enough arguments, but 1,2,3,4,5,6 is not the same as N,M_Iter,LB,UB,Dim,fhd,Function_ID,Global_Opt

[Abdulaziz Hassoun]

do i need to defineeach one of these (N,M_Iter,LB,UB,Dim,fhd,Function_ID,Global_Opt) ?

like N=5; and so on or this is the function calleing job ?

[Abdulaziz Hassoun]

the code now runs but without output ???

[Image Analyst]

We assume you got it working because you accepted this answer. It that's not true, then unaccept it and maybe more people will answer.

[Abdulaziz Hassoun]

Oh ok i did not know that, Thank you