There was too much randomness in his evolving. When I was evolving agents for my M.S., I used tournament selection (http://en.wikipedia.org/wiki/Tournament_selection) with an 80% crossover rate for the top 2 winners and only a 5% mutation rate on the offspring. I also started off with a population of 500 individuals. This approach seemed to produce much better results.
There was too much randomness in his evolving. When I was evolving agents for my M.S., I used tournament selection (http://en.wikipedia.org/wiki/Tournament_selection) with an 80% crossover rate for the top 2 winners and only a 5% mutation rate on the offspring. I also started off with a population of 500 individuals. This approach seemed to produce much better results.