Generative Art with Swarm Landscapes

Generative Art with Swarm Landscapes

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...

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Veröffentlicht in:Entropy (Basel, Switzerland) Switzerland), 2020-11, Vol.22 (11), p.1284
Hauptverfasser: de Andrade, Diogo, Fachada, Nuno, Fernandes, Carlos M, Rosa, Agostinho C
Format: Artikel
Sprache:eng
Schlagworte:
aesthetics model
computational aesthetics
function landscapes
particle swarm optimization
procedural content generation
swarm art
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Beschreibung
Zusammenfassung: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.
ISSN:1099-4300
1099-4300
DOI:10.3390/e22111284