Show terminal output and comment your evolved algorithm action number strands (1 through 9, A, Base 11 digits). version 1.01 It is a script that use genetic algorithm to find actions in game that gain score and adjust them over time. Source code can be found here: https://github.com/Grommii/Foldit/blob/master/AILearnsToPlayFoldIt.lua

Adjustable parameters: **Population Size** - Number of species in population. In other words - number of top species that survive to the next generation; **Mutation Size** - Number of mutated algorithms that will be added and checked each generation; **Aliens Size** - Number of random algorithms that will be added and checked each generation; **Cross Size** - Number of crossed algorithms that will be added and checked each generation; **Number Of Algorithm Steps** - Number of actions (genes) that can perform each algorithm; **Iteration Score Threshold** - Score gain threshold for algorithm to be executed again during evaluation; **Reset World Generation Each** - Number of generations that will be tested based on the same starting position before new top position will be saved as start point; **Mutate Rate** - Probability of new gene during mutation;

Also you can check/uncheck pre-defined algorithms to start with. By default two common algorithms included.