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带有群体景观的生成艺术。

Generative Art with Swarm Landscapes.

作者信息

de Andrade Diogo, Fachada Nuno, Fernandes Carlos M, Rosa Agostinho C

机构信息

School of Communication, Arts and Information Technology, Lusófona University, 1749-024 Lisboa, Portugal.

HEI-Lab-Digital Human-Environment Interactions Lab, Lusófona University, 1749-024 Lisboa, Portugal.

出版信息

Entropy (Basel). 2020 Nov 12;22(11):1284. doi: 10.3390/e22111284.

DOI:10.3390/e22111284
PMID:33287052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7711787/
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.

摘要

我们展示了一个生成式群体艺术项目，该项目通过在由目标函数生成的合成景观上运行粒子群优化算法来创建3D动画。我们探索了不同类型的函数，包括数学表达式、基于柏林噪声的地形以及几种基于图像的程序。描述了一种以美观的方式展示粒子群探索搜索空间的方法。详细介绍并分析了几个实验，并突出了一些有趣的视觉效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/e7e8187061a7/entropy-22-01284-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/0de50de45a9a/entropy-22-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/be2093d6d34e/entropy-22-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/ee4213f47fc8/entropy-22-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/d820e246c4a7/entropy-22-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/3084e8b36f68/entropy-22-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/968a3706b26b/entropy-22-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/db42b690654c/entropy-22-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/24d439da3a17/entropy-22-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/477fe4753bf8/entropy-22-01284-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/e7e8187061a7/entropy-22-01284-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/0de50de45a9a/entropy-22-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/be2093d6d34e/entropy-22-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/ee4213f47fc8/entropy-22-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/d820e246c4a7/entropy-22-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/3084e8b36f68/entropy-22-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/968a3706b26b/entropy-22-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/db42b690654c/entropy-22-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/24d439da3a17/entropy-22-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/477fe4753bf8/entropy-22-01284-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d487/7711787/e7e8187061a7/entropy-22-01284-g010.jpg

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本文引用的文献

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Steady state particle swarm.稳态粒子群
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KANTS: a stigmergic ant algorithm for cluster analysis and swarm art.坎茨：一种用于聚类分析和群体艺术的基于跗节痕迹的蚂蚁算法。
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