problem in matlab code

Hello,

Please how i can solve this problem in my Matlab code:

In an assignment A(:) = B, the number of elements in A and B must be the same.

Error in ObjectiveFunction (line 73)

throughputCR(i)= throughputCR(i)+W*log2(1+ SinrCR(i,j));

Error in PSO (line 94)

Swarm.Particles(k).O = fobj(currentX);

Error in main (line 54)

[ GBEST , cgcurve ] = PSO( noPa , maxItera , visFlaga ) ;

>>

Answer 1

[Image Analyst]

W is probably a vector and so the entire right hand side is a vector. You can't stuff, say, 100 elements into throughputCR(i) which is just a single element.

If you put these lines before the bad line, what does it report in the command window?

whos throughputCR
whos W
whos SinrCR

[brahmi ibtissem]

hello, i still have this problem in my matlab code:

26.9763 0 0 0 0

12.6823 0 0 0 0

g =

1

Generation #1

In an assignment A(:) = B, the number of elements in A and B must be the same.

Error in GeneticAlgorithm (line 11)

cgcurve(g) = population.Chromosomes(indx(1)).fitness;

Error in Main (line 36)

[BestChrom] = GeneticAlgorithm (M , N, MaxGen , Pc, Pm , Er , Problem.obj , visualization)

>>

[Guillaume]

The problem is still the same, population.Chromosomes(indx(1)).fitness is a vector, a matrix, or is empty. I.E: it's not just one element. And you try to assign it to a single element of a variable.

[Image Analyst]

brahmi, why did you not put in the whos statements like I specifically asked you for? You're just delaying an answer by not doing the things we suggest.

Answer 2

[KALYAN ACHARJYA]

A= B;

[brahmi ibtissem]

i dont have marameters denoted A and B

[KALYAN ACHARJYA]

Then What does this line means?

Inn an assignment  A(:) = B,

Share complete code.

[Guillaume]

"In an assignment A(:) = B, the number of elements in A and B must be the same" is the generic error message you get (in some versions of matlab) when you attempt an indexed assigment with mismatched size. The error message does not replace A and B by the names of the offending variables.

[brahmi ibtissem]

how can i solve this problem

when i place C=1; V=1; by a values greator than 1, the code give this error:

In an assignment A(:) = B, the number of elements in A and B must be the same.

Error in ObjectiveFunction (line 73)

throughputCR(i)= throughputCR(i)+W*log2(1+ SinrCR(i,j));

Error in PSO (line 94)

Swarm.Particles(k).O = fobj(currentX);

Error in main (line 54)

[ GBEST , cgcurve ] = PSO( noPa , maxItera , visFlaga ) ;

and the code don't gennerate que generation 1

This is the code of indx(1):

  g = 1
 disp(['Generation #' , num2str(g)]);
 [max_val , indx] = sort([ population.Chromosomes(:).fitness ] , 'descend');
 cgcurve(g) = population.Chromosomes(indx(1)).fitness;

[Walter Roberson]

Show us the code for ObjectiveFunction

[brahmi ibtissem]

this is the code of the objectivefunctioon

% ************************************************************************************************************************************************* 
function  [fitness_value] = Sphere( X )
% ************************************************************************************************************************************************* 
 global C;
global V;
global RB;
global Noise
global W;
global Pcellular;
global binv;
global Pv;
global PositionsBS;
global PositionsC;
global PositionsV;
constraintSatified=true;
Pcellular=23*X(:,:,1);
Pv=X(:,:,1);
%binv=X(:,:,1);
binv=zeros(V,RB);;
global binc;
 binc=zeros(C, RB); 
 for i=1:C
      for j=1:RB
         if i==j 
             binc(i,j)=1;
         end
      end
 end
 

%matrix user in line, column RB


SINRcth=0;
SINRvth=0;
 
 %calculate the throughput and the interferences of a eh user type
         
throughputC=zeros(C);
  SinrC=zeros(C,RB);
for i=1:C
    Icv=0;
  
    for j=1:RB
                if binc(i,j)==1  
           
           for v=1:V   
           
           if binv(v,j)==1
           Icv=Icv+Pv(v,j)*calculate_gain(PositionsBS(1),PositionsBS(2), PositionsV(v,1),PositionsV(v,2) );
           end
           end
           SinrC(i,j)=Pcellular(i,j)*calculate_gain(PositionsBS(1),PositionsBS(2), PositionsC(i,1),PositionsC(i,2) )/(Icv+Noise);
            throughputC(i)=  throughputC(i)+W*log2(1+ SinrC(i,j));
            plot( throughputC(i));
                end
    end
if throughputC(i)<SINRcth
    constraintSatified=false;
end
end
throughputV=zeros(V);
SinrV=zeros(V,RB);    
for v=1:V
    Ivc=0;  
    for j=1:RB
            if binv(i,j)==1  
            for c=1:C
           if binc(c,j)==1
           Ivc=Ivc+Pcellular(i,j)*calculate_gain(PositionsC(i,1),PositionsC(i,2), PositionsV(v,1),PositionsV(v,2) );
            end
           end
           SinrV(v,j)=Pv(v,j)*calculate_gain(PositionsV(v,1),PositionsV(v,2),PositionsC(c,1),PositionsC(c,2) )/(Ivc+Noise);
         throughputV(v)=  throughputV(v)+W*log2(1+ SinrV(v,j));
         disp( throughputV(v));
            end
    end
   if throughputV(v)< SINRvth
       
constraintSatified=false;
   end
end
            
if constraintSatified==false    
 fitness_value = 0;
    else 
        a=sum(throughputV);
        b=sum(throughputC);
        fitness_value=max(a,b);
       disp(fitness_value);
end


end

[Walter Roberson]

global W;

You do not show us where you initialized W. W might be its default value for a global variable, which is to say it might be empty.