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Fist of all thanks for any help
I would like to know if is possible using result of previous pass on genetic otimization for the next generation,
For example, if I try to normalize the max Profit, I need to know the current max e min price, so f(x) = Profit/(Max(Profit)-Min(Profit))
How can I store the previous values instead to run a optimization, set the max e min like a inputs and restart the optimization?