please i need a help in a matlab program using GA if anyone can help me please tell me and i will send the program to him/her it is about how to improve the performance of linear array using GA thanks

function CF =fnbwd1(w) N =12; % number of elements in array m=0; d=0.5; for m=m+1

   theta = 0:.01:pi; 
   AF1 = zeros(1,length(theta)); 
for i = 1:N/2

%AF1=AF1+w(i)'.*cos(((2*i)-1)*(pi*w(7)*cos(theta)));
  AF1=AF1+w(i)'.*cos(((2*i)-1)*(pi*d*cos(theta)));

end AF1=2*AF1; [Maxima,MaxIdx] = findpeaks(abs(AF1)); DataInv = 1.01*max(abs(AF1)) - abs(AF1); [Minima,MinIdx] = findpeaks(DataInv) Minima = AF1(MinIdx); theta1=0:(180*0.01/pi):180; [MinAngles]=theta1(MinIdx) %h=MinAngles((110*pi/180)>MinAngles & MinAngles>(pi/2)) %l=MinAngles((pi/2)>MinAngles & MinAngles>(80*pi/180)) h=MinAngles(MinAngles>90) l=MinAngles(90>MinAngles) l1= fliplr(l) for x1=1:length(h) for x2=1:length(l1)

FNBW=h(x1)-l1(x2)
       end
end 

 for x=1:length(FNBW) 
         CF=abs(FNBW(x)-19.4806)

end

end end

[Geoff Hayes]

Marian - please format the above code so that it is readable (or just attach it to your question using the paperclip button).

Is this code your fitness function for the genetic algorithm? Are you using the GA software from the Global Optimization Toolbox?

What do you mean that you want to improve the performance of linear array using GA? Is it that the solution is converging prematurely, or is not working, or ..?