Generative Art with Swarm Landscapes

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Abstract
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.
Funding Information
  • Fundação para a Ciência e a Tecnologia (UIDB/05380/2020, UIDB/50009/2020)