fn = -rwevaluatorescore*entropy – (positiveloss – negativeloss) * entropy – entropy/2 (minimisation function)

Here the idea is to force the genetic algorithm to generate more complex fractal by giving an advantage to formulas with greater change in there structure (rwevaluatorescore). The process in mainly influenced by an entropy staircase (to gen algo always favor fractals with higher entropy). An importance is added to group of class of fractal (auto-encoder classifying NN net) and removed from another group of class. It’s hard to say if the NN has much influence there because the process is mostly entropy driven.

Nice equilibroid

Now blocking all lower entropy results loss function only entropic and favoring complexity of the rewriting formula : MinLoss = -rwevaluatorescore/10 – entropy/2