I'm hoping if someone out there who regularly uses genetic optimizer, if they could perhaps share their thoughts and "art of using GO?" I've been reading up a lot on GO and still confused on what they settings should be during my GO tests. Population size, cross rate, generation size etc.
-ps-n8 support, I did read many of the GO threads and most of them do not have a discussion regarding what are the "best" settings" on "average" to run during a GO test. Perhaps, someone in your data scientist team can also chime in? How did your team come up with the default settings?
Thank you in advance
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