Page 19 - Algorithm Collections for Digital Signal Processing Applications using MATLAB

1. Artificial Intelligence 7

Continued…

v1=w*v1+c1*rand*(x(2)-x(1))+c2*rand*(capture-x(1));
v2=w*v2+c1*rand*(y(2)-y(1))+c2*rand*(capture-y(1));
vel1=[vel1 v1];
vel2=[vel2 v2];

%updating x(1) and y(1)
x(1)=x(1)+v1;
y(1)=y(1)+v2;

%updating x(2) and y(2)
if((f1(fun,x(2),y(1)))<=(f1(fun,x(1),y(1))))
x(2)=x(2);
else
x(2)=x(1);
end;
if((f1(fun,x(1),y(2)))<=(f1(fun,x(1),y(1))))
y(2)=y(2);
else
y(2)=y(1);
end
error=[error f1(fun,x(2),y(2))];
w=w-w*i/ITER;
swarm=[swarm;x(2) y(2)];
subplot(3,1,3)
plot(error,'-')
title('Error(vs) Iteration');
subplot(3,1,1)
plot(swarm(:,1),'-')
title('x (vs) Iteration');
subplot(3,1,2)
plot(swarm(:,2),'-')
title('y (vs) Iteration');
pause(0.2)
end
value=[x(2);y(2)];

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f1.m

function [res]=f1(fun,x,y);
s=strcat(fun,'(x,y)');
res=eval(s);