Generative art with swarm landscapes
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Ficheiros
Data
2020
Título da revista
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Editora
MDPI
Resumo
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.
Descrição
Entropy 2020
Palavras-chave
INFORMÁTICA, COMPUTER SCIENCE, INTELIGÊNCIA ARTIFICIAL, ARTIFICIAL INTELLIGENCE, OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS, PARTICLE SWARM OPTIMIZATION, OTIMIZAÇÃO, OPTIMIZATION, META-HEURÍSTICA, METAHEURISTICS, ESTÉTICA COMPUTACIONAL, COMPUTATIONAL AESTHETICS, SWARM ART, PROCEDURAL CONTENT GENERATION, AESTHETICS MODEL, FUNCTION LANDSCAPES
Citação
de Andrade, D., Fachada, N., Fernandes, C.M. & Rosa, A.C. (2020). Generative Art with Swarm Landscapes. Entropy, 22(11), 1284. https://doi.org/10.3390/e22111284