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.
Subject
General Physics and Astronomy
Cited by
5 articles.
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1. The Perspective of Complex Scientific Systems: The Creation Path of Generative Art;2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE);2023-09-15
2. Particle swarm optimization for procedural content generation in an endless platform game;Entertainment Computing;2022-08
3. Painting with Evolutionary Algorithms;Artificial Intelligence in Music, Sound, Art and Design;2022
4. Designing Color Symmetry in Stigmergic Art;Mathematics;2021-08-07
5. System Output;Swarm Systems in Art and Architecture;2021