Using lindenmayer systems and genetic algorithms to simulate plant growth.
Plants are given a “fitness” based on their leaves -
The leaf score is indicated by it's colour (red=bad, green=good).
Using this measurement, a genetic algorithm can create populations of individual plants, score each one and iteratively create new populations by combining fit individuals.
The simplest strategy is to “cheat” with one leaf :) Each frame is the fittest of a new population, the text is the current lindenmayer string.
The result of a long run with many thousands of generations. Many leaves circle the light to get the maximum photosynthesis possible.
You can also evolve from a starting point - in this case a simple tree is modified to create a bigger and more suitable one for the environment.
Another evolutionary run, a bit more interesting than the one-leaf approach.