With his Biomorphs, evolutionary biologist Richard Dawkins used a genetic algorithm to evolve simple line drawings. Starting from a single pixel, Dawkins evolved a diversity of complex forms that resembled biological lifeforms found in nature --- insects, spiders, bats, frogs, birds. Dawkins' system was guided by user feedback. Rather than define an automatic fitness function in advance, Dawkins used his personal tastes, preferences, and intuition to determine the fitness of each individual, essentially working in tandem with the genetic algorithm to navigate the overwhelming large space of possible drawings. In this project, you will implement a system much like Dawkins', but for sound. You will design and implement a genetic algorithm to digitally synthesize sounds.

Diversity Search

Start a new search and evolve at least four generations. This time try to maintain as much variety of sound as possible within each generation. Consider changing search parameters such as mutation probability and/or population size in order to increase diversity.

Question 4: Explain your strategy for achieving diversity. Did it work? How did you decide fitness scores and why? Did you change any other search parameters and why?