How I can impliment my objective function inside this GA?

How I can impliment my objective function inside this GA?

Answer 1

[Star Strider]

Since ‘objective function’ implies curve fitting, try something like this —

x = 1:0.1:10;
y = 2.5*exp(-(x-5).^2/2)+randn(size(x))*0.25;

objfcn = @(b,x) b(1).*exp(-(x-b(2)).^2*b(3));

fitnessfcn = @(b) norm(y-objfcn(b,x));

Parms = 3;
[B,fval] = ga(fitnessfcn, Parms)

Optimization terminated: average change in the fitness value less than options.FunctionTolerance.

B = 1×3

2.6924 4.9718 0.6663

fval = 2.7118

figure
plot(x, y, '.')
hold on
plot(x, objfcn(B,x), '-r')
hold off
grid

The parameter estimates here (2.69, 4.97, 0.666) are reasonably accurate when compared to the actual parameters (2.5, 5.0, 0.5) in this relatively simple problem. The norm of the residuals is 2.71.

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[Sourasis Chattopadhyay]

Thank you for your valuable help.

[Star Strider]

As always, my pleasure!