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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Bibliographic Details
Main Authors: Diogo de Andrade, Nuno Fachada, Carlos M. Fernandes, Agostinho C. Rosa
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Entropy
Subjects:
particle swarm optimization
swarm art
function landscapes
procedural content generation
computational aesthetics
aesthetics model
Online Access:https://www.mdpi.com/1099-4300/22/11/1284

Internet

https://www.mdpi.com/1099-4300/22/11/1284

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