Generative Art with Swarm Landscapes
Copyright policy )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 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.
- Universidade de Lisboa Portugal
- University of Lisbon
- Instituto Superior de Espinho Portugal
- Universidade de Lisboa Portugal
- Universidade de Lisboa Portugal
aesthetics model, Science, QC1-999, SWARM ART, Astrophysics, INFORMÁTICA, Article, ESTÉTICA COMPUTACIONAL, META-HEURÍSTICA, function landscapes, OPTIMIZATION, swarm art, OTIMIZAÇÃO, particle swarm optimization, COMPUTATIONAL AESTHETICS, Physics, Q, COMPUTER SCIENCE, AESTHETICS MODEL, METAHEURISTICS, INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS, FUNCTION LANDSCAPES, QB460-466, procedural content generation, ARTIFICIAL INTELLIGENCE, PROCEDURAL CONTENT GENERATION, PARTICLE SWARM OPTIMIZATION, computational aesthetics
aesthetics model, Science, QC1-999, SWARM ART, Astrophysics, INFORMÁTICA, Article, ESTÉTICA COMPUTACIONAL, META-HEURÍSTICA, function landscapes, OPTIMIZATION, swarm art, OTIMIZAÇÃO, particle swarm optimization, COMPUTATIONAL AESTHETICS, Physics, Q, COMPUTER SCIENCE, AESTHETICS MODEL, METAHEURISTICS, INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS, FUNCTION LANDSCAPES, QB460-466, procedural content generation, ARTIFICIAL INTELLIGENCE, PROCEDURAL CONTENT GENERATION, PARTICLE SWARM OPTIMIZATION, computational aesthetics
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