Fachada, NunoFernandes, Carlos M.Rosa, Agostinho C.Andrade, Diogo Nuno Dias Mesquita Gomes de2025-01-212025-01-212020Fachada, 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/e221112841099-4300http://hdl.handle.net/10437/15016Entropy 2020We 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.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.engopenAccessINFORMÁTICAINTELIGÊNCIA ARTIFICIALOTIMIZAÇÃO POR ENXAME DE PARTÍCULASOTIMIZAÇÃOMETA-HEURÍSTICAESTÉTICA COMPUTACIONALCOMPUTER SCIENCEARTIFICIAL INTELLIGENCEPARTICLE SWARM OPTIMIZATIONOPTIMIZATIONMETAHEURISTICSCOMPUTATIONAL AESTHETICSSWARM ARTPROCEDURAL CONTENT GENERATIONAESTHETICS MODELFUNCTION LANDSCAPESarticlehttps://doi.org/10.3390/e22111284https://www.scopus.com/record/display.uri?eid=2-s2.0-85096050927&origin=inward