Apr-01-2019, 11:40 PM
You can do random search, run for loop and choose parameters in multidimensional space randomly, do experiment, and choose the best case; another approach is to use simulated annealing method, it is almost the same, but takes into account local estimations of probability where the optimal solution is likely existing. Everything depends on how much time do you need to do one experiment? Searching in 6D might be hard...