Left it running over night..

67 generations so far (929 tiny mutations each generation, so 62243 mutations!) and he's um.. falling over :(

Very very very simple methods at the moment.

- Generate 30 random equations for each limbs movements (possible variables to play with are the tension of all the other muscles), then spawn 30 mutated equations for each of those 30. so you have 900.
- Try every single equation and order them by which held him upright the longest
- Take the top 30 best and mutate them 30 times, so you have 900 again
- Find the best of those
- etc.etc.etc.

It uses various methods for mutation - stuff like swapping chromosomes with others or just altering a value or function to another.

The big problem for me will be the input data, I think. Knowing what variables each of the muscles will need to know about in order to know how much to tense. Currently it only knows the basic stuff.

Congratulations on making a John Cleese silly walks generator.

I love all this software learning program stuff.

You clearly need to skin it as Michael Jackson.

(Not the whisky expert. The other one.)