http://nk1tz.com/explore-genetic-algorithm/
Explore an genetic algorithm (evolutionary search) by playing with the parameters during a solution landscape search.
Type your name (or anything) in the input box, and click 'Evolve Me'. Change parameters on the fly by hitting enter and observe the effects on the algorithm. The top 10 individuals of each generation are displayed along with their respective score (see fitness function).
The score of an individual is found by comparing char-by-char the ASCII code values of a string against the target string.
Chance of mutating any given char during mating.
How many individuals' contribute part of their genome during a single mating event.
How many individuals are generated at every generational event.
How heavily weighted is the selection process towards the best individuals.
How many of the top individuals are cloned into the next generation.