title: What's a genetic algorithm that would produce interesting/surprising results and not have a boring/obvious end point?
body: <p>I find genetic algorithm simulations like <a href="http://megaswf.com/simple_serve/102223/" rel="nofollow">this</a> to be incredibly entrancing and I think it'd be fun to make my own.  But the problem with most simulations like this is that they're usually just <a href="http://en.wikipedia.org/wiki/Hill_climbing" rel="nofollow">hill climbing</a> to a predictable ideal result that could have been crafted with human guidance pretty easily.  An interesting simulation would have countless different solutions that would be significantly different from each other and surprising to the human observing them.</p>
  
  <p>So how would I go about trying to create something like that?  Is it even reasonable to expect to achieve what I'm describing?  Are there any "standard" simulations (in the sense that the game of life is sort of standardized) that I could draw inspiration from?</p>