Generative Art with Swarm Landscapes

Entropy (Basel). 2020 Nov 12;22(11):1284. doi: 10.3390/e22111284.


We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function. Different kinds of functions are explored, including mathematical expressions, Perlin noise-based terrain, and several image-based procedures. A method for displaying the particle swarm exploring the search space in aesthetically pleasing ways is described. Several experiments are detailed and analyzed and a number of interesting visual artifacts are highlighted.

Keywords: aesthetics model; computational aesthetics; function landscapes; particle swarm optimization; procedural content generation; swarm art.