Not to be outdone, I wrote my own genetic algorithm in Perl to do the same. It starts from randomly generated triangles, and evolves them to match the given image.
Here is the result of my first trial after 5000 generations:
For this run, I used 50 triangles, each at 50% alpha (fixed), a GA population size of 200, a crossover rate of 0.91 and a mutation rate of 0.01. It took around 12 hours to run, but that's mainly because I opted to do it in Perl and didn't spend any time optimizing it.
Here is the result of my first trial after 5000 generations:
http://imgur.com/L9Odx
For this run, I used 50 triangles, each at 50% alpha (fixed), a GA population size of 200, a crossover rate of 0.91 and a mutation rate of 0.01. It took around 12 hours to run, but that's mainly because I opted to do it in Perl and didn't spend any time optimizing it.