Hi all, wondering if there are any ideas on how to tune boolean, integer and bounded variables using the simulated annealing code in NR3. I have the optimization working by returning a very high value if the objective function is evaluated with a value which is out of bounds, but this seems very inefficient (it's quite slow when I activate this).

Is there a better way (or an alternative algorithm!) to optimize bounded, integer and boolean variables?

Many thanks,

akevan

Hi all, wondering if there are any ideas on how to tune boolean, integer and bounded variables using the simulated annealing code in NR3. I have the optimization working by returning a very high value if the objective function is evaluated with a value which is out of bounds, but this seems very inefficient (it's quite slow when I activate this).

Is there a better way (or an alternative algorithm!) to optimize bounded, integer and boolean variables?

Many thanks,

akevan

Hello NR Colleague,
Did you try wrapper class or derived class NRVec<int>
while using the said code.
NR Recipe second edition makes this point clear on page 954
which i append bellow for your another try on the same
The std:vector class has a specialisation for vector<bool>that doesn't work with the wrapper class scheme.So implement own specialisation as a derived class of NRVec<int>
This could cause problem if you mix mtl:: vector<bool> with NRVec<bool>
Please do not alter the already established aligorithm which is under Annealing method .instead use approprite template class.So please try out as per this template <> class NRVec<bool>
in place of NR3.h. since your variables are not responding to NR3.h for proper output.
Hope to hear from you soon on this.
GoodLuck
As
C.R.Muthukumar(Kutta)