One of the most beautiful applications of math+cs (for me) involves genetic algorithms. Being able to have two models duke it out (via survivorship), or mutate

One of the most beautiful applications of math+cs (for me) involves genetic algorithms. Being able to have two models duke it out (via survivorship), or mutate - to see your code select the best models to fit a set of data is beautiful. Basic Info: http://en.wikipedia.org/wiki/Genetic_algorithm http://en.wikipedia.org/wiki/Genetic_algorithm You can also increase the complexity of this field by using GAs to train neural networks for fitting data or processing it in innovative ways: http://www.generation5.org/content/2000/nn_ga.asp http://www.generation5.org/content/2000/nn_ga.asp YOUTUBE: NN + GA simulation: http://www.youtube.com/watch?v=LXDUqAmdEq4 http://www.youtube.com/watch?v=LXDUqAmdEq4 Neural Network at work: http://www.youtube.com/watch?v=T2aZAWXyw6c http://www.youtube.com/watch?v=T2aZAWXyw6c