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Article

Generative Art with Swarm Landscapes

1
School of Communication, Arts and Information Technology, Lusófona University, 1749-024 Lisboa, Portugal
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HEI-Lab—Digital Human-Environment Interactions Lab, Lusófona University, 1749-024 Lisboa, Portugal
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LARSyS: Laboratory for Robotics and Systems in Engineering and Science, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(11), 1284; https://doi.org/10.3390/e22111284
Received: 5 October 2020 / Revised: 2 November 2020 / Accepted: 6 November 2020 / Published: 12 November 2020
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. View Full-Text
Keywords: particle swarm optimization; swarm art; function landscapes; procedural content generation; computational aesthetics; aesthetics model particle swarm optimization; swarm art; function landscapes; procedural content generation; computational aesthetics; aesthetics model
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MDPI and ACS Style

de Andrade, D.; Fachada, N.; Fernandes, C.M.; Rosa, A.C. Generative Art with Swarm Landscapes. Entropy 2020, 22, 1284. https://doi.org/10.3390/e22111284

AMA Style

de Andrade D, Fachada N, Fernandes CM, Rosa AC. Generative Art with Swarm Landscapes. Entropy. 2020; 22(11):1284. https://doi.org/10.3390/e22111284

Chicago/Turabian Style

de Andrade, Diogo, Nuno Fachada, Carlos M. Fernandes, and Agostinho C. Rosa 2020. "Generative Art with Swarm Landscapes" Entropy 22, no. 11: 1284. https://doi.org/10.3390/e22111284

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