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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Detalles Bibliográficos
Autores principales: de Andrade, Diogo, Fachada, Nuno, Fernandes, Carlos M., Rosa, Agostinho C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711787/
https://www.ncbi.nlm.nih.gov/pubmed/33287052
http://dx.doi.org/10.3390/e22111284
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author de Andrade, Diogo
Fachada, Nuno
Fernandes, Carlos M.
Rosa, Agostinho C.
author_facet de Andrade, Diogo
Fachada, Nuno
Fernandes, Carlos M.
Rosa, Agostinho C.
author_sort de Andrade, Diogo
collection PubMed
description 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.
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spelling pubmed-77117872021-02-24 Generative Art with Swarm Landscapes de Andrade, Diogo Fachada, Nuno Fernandes, Carlos M. Rosa, Agostinho C. Entropy (Basel) Article 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. MDPI 2020-11-12 /pmc/articles/PMC7711787/ /pubmed/33287052 http://dx.doi.org/10.3390/e22111284 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Andrade, Diogo
Fachada, Nuno
Fernandes, Carlos M.
Rosa, Agostinho C.
Generative Art with Swarm Landscapes
title Generative Art with Swarm Landscapes
title_full Generative Art with Swarm Landscapes
title_fullStr Generative Art with Swarm Landscapes
title_full_unstemmed Generative Art with Swarm Landscapes
title_short Generative Art with Swarm Landscapes
title_sort generative art with swarm landscapes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711787/
https://www.ncbi.nlm.nih.gov/pubmed/33287052
http://dx.doi.org/10.3390/e22111284
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