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Generative Art with Swarm Landscapes
Diogo de Andrade1, Nuno Fachada1,2,3, Carlos M Fernandes3
1School of Communication, Arts and Information Technology, Lusófona University, 1749-024 Lisboa, Portugal.
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.
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