The "ga" function from the "GA" library in R has several "type" options including "real-valued", and two optim-related flags. This continuous-domain optimization applies a non-genetic approach as part of its function.
I can solve my problem using the ga, but I am having problems with other solvers. The ga solves it, but it takes a very long time.
How can I find out what is really running in the back-end of "ga" so that I can get a solver that I knows works in order to get to it?
Is there an online example working through whatever tool is being used that shows how to set flags for my "fitness" function?
