Michael Fogleman

Inspired by Sage Jenson's article on simulating the Physarum polycephalum slime mold. The algorithm is surprisingly simple, given how complex its outputs appear. That's the magic of generative algorithms! There are several configurable parameters, which are randomized for each run. This would be a great candidate for running on the GPU, but my implementation is purely CPU-based and written in Go. There is an OpenGL-based viewer, however, so you can watch the simulation as it runs. A lot more could be done here... food sources, life & death, evolution, etc.

This is an implementation of a generative algorithm by Andy Lomas, described in his paper Cellular Forms: an Artistic Exploration of Morphogenesis.

While Andy implemented his algorithm on the GPU, my implementation is CPU-based. It includes a real-time viewer where you can watch the forms grow. It can also export STLs, which I used to then ray-trace the results. I found it interesting to "chop" the models in half, revealing their intricate inner structure as shown in the image here.

This is a small program that generates diffusion-limited aggregations in either 2D or 3D. The output is a CSV file containing the coordinates of the particles and their relationship to one another. Rendering is out of scope, but I have produced several example renders. The code is very configurable - there are a few parameters that you can tweak and there are also several code hooks that allow you to alter the algorithm's behavior.