Hello!
 
I try to fit a non linear model. It is a quite complex (4 parameters)
biological model and therefore the optimization surface is probably very
rough, i.e. there are several optima. The optimum being found by the
algorithm depends thus on the starting values I feed in. I have seen the
"SANN" method in the optim function which is probably a good solution.
My problem now is that I have to constrain my parameters (from
biological point of view, 3 pars >0, 1 par>1, maybe also set upper
boundaries) but if I do the "SANN", where no boundaries can be set, in
only about 20% of the cases a solution is found that satisfies the
biological constraints. Is there any way in R to perform a constrained
simulated annealing?
 
Thanks a lot
 
Fabian

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