Ok, I tried it and it converges much faster. My dna data is all integers so the update function is something like constrained update( int existing_value, int l

Ok, I tried it and it converges much faster. My dna data is all integers so the update function is something like constrained update( int existing_value, int limit ) { new_value = random( limit ) constraining_value = random_float difference = ( new_value - existing value ) * ( constraining_value * constraining value ) return difference ( apologize if code doesn't format correctly). I also tried randomly replacing a poly with a new random shape and color poly 5% of the time to get away from local minima... didn't seem to help. I'm still doing a bit on this in my spare time if anyone is interested. Later.