Generative art with swarm landscapes
| dc.contributor.author | Fachada, Nuno | |
| dc.contributor.author | Fernandes, Carlos M. | |
| dc.contributor.author | Rosa, Agostinho C. | |
| dc.contributor.author | Andrade, Diogo Nuno Dias Mesquita Gomes de | |
| dc.contributor.institution | HEI-LAB - Human Environment Interaction Lab | |
| dc.contributor.institution | ECATI - School of Communication, Architecture, Arts and Information Technologies | |
| dc.date.accessioned | 2025-01-21T00:02:40Z | |
| dc.date.available | 2025-01-21T00:02:40Z | |
| dc.date.issued | 2020 | |
| dc.description | Entropy 2020 | |
| dc.description.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. | pt |
| dc.description.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. | en |
| dc.description.sponsorship | Funding text 1 Funding: This research was funded by Fundação para a Ciência e Tecnologia projects UIDB/05380/2020 (HEI-Lab) and UIDB/50009/2020 (LARSyS). Funding text 2 This research was funded by Fundação para a Ciência e Tecnologia projects UIDB/05380/2020 (HEI-Lab) and UIDB/50009/2020 (LARSyS). | |
| dc.identifier.citation | Fachada, N, Fernandes, C M, Rosa, A C & Andrade, D N D M G D 2020, 'Generative art with swarm landscapes', Entropy 2020, vol. 22, no. 11, pp. 1 - 16. https://doi.org/10.3390/e22111284 | |
| dc.identifier.doi | https://doi.org/10.3390/e22111284 | |
| dc.identifier.issn | 1099-4300 | |
| dc.identifier.uri | http://hdl.handle.net/10437/15016 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85096050927 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation.ispartof | Entropy 2020 | |
| dc.rights | openAccess | |
| dc.subject | INFORMÁTICA | |
| dc.subject | INTELIGÊNCIA ARTIFICIAL | |
| dc.subject | OTIMIZAÇÃO POR ENXAME DE PARTÍCULAS | |
| dc.subject | OTIMIZAÇÃO | |
| dc.subject | META-HEURÍSTICA | |
| dc.subject | ESTÉTICA COMPUTACIONAL | |
| dc.subject | COMPUTER SCIENCE | |
| dc.subject | ARTIFICIAL INTELLIGENCE | |
| dc.subject | PARTICLE SWARM OPTIMIZATION | |
| dc.subject | OPTIMIZATION | |
| dc.subject | METAHEURISTICS | |
| dc.subject | COMPUTATIONAL AESTHETICS | |
| dc.subject | SWARM ART | |
| dc.subject | PROCEDURAL CONTENT GENERATION | |
| dc.subject | AESTHETICS MODEL | |
| dc.subject | FUNCTION LANDSCAPES | |
| dc.title | Generative art with swarm landscapes | en |
| dc.type | article |
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