JGAP genetic algorithms for Java

Hi all,

I am stuck with JGAP, I am trying to test the code by finding Maximum Likelihood Estimates, I seem to have a problem with the fitness function. First, JGAP requires the fitness function to be positive valued. I have tried the usual transform: fitness = Math.exp(f(x)), but this doesn't work, JGAP can't find the optimum values of x. In most cases fitness stays at 0.0 due to f(x) being very low. Any suggestions on scaling the f(x)? Or is there other more popular packages for GA?

Regards,

Iskatel