When optimizing a parameter in ASCENT mode, Zorro uses "min" values of other parameters.


It would be better/more productive to use the "default" values - which is normally a "best known estimate", 'reasonably good' value, which is often chosen as the "center of the range'.

And for a parameter already optimized - its "best" value should since be used when training the others in the same TrainCycle.