Evolving Mondrian-Style Artworks
Inhaltsverzeichnis
Referenz
Miri Weiss Cohen, Leticia Cherchiglia, Rachel Costa: Evolving Mondrian-Style Artworks. In: EvoMUSART 2017, 338-353.
DOI
https://doi.org/10.1007/978-3-319-55750-2_23
Abstract
This paper describes a Genetic Algorithm (GA) software system for automatically generating Mondrian-style symmetries and abstract artwork. The research examines Mondrian’s paintings from 1922 through 1932 and analyses the balances, color symmetries and composition in these paintings. We used a set of eleven criteria to define the automated system. We then translated and formulized these criteria into heuristics and criteria that can be measured and used in the GA algorithm. The software includes a module that provides a range of GA parameter values for interactive selection. Despite a number of limitations, the method yielded high quality results with colors close to those of Mondrian and rectangles that did not overlap and fit the canvas.
Extended Abstract
Bibtex
@incollection{
year={2017},
isbn={978-3-319-55750-2},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={10198},
series={Lecture Notes in Computer Science},
editor={Correia, João and Ciesielski, Vic and Liapis, Antonios},
doi={doi.org/10.1007/978-3-319-55750-2_23},
title={Evolving Mondrian-Style Artworks},
url={https://link.springer.com/chapter/10.1007/978-3-319-55750-2_23 http://de.evo-art.org/index.php?title=Evolving_Mondrian-Style_Artworks},
publisher={Springer International Publishing},
keywords={Art-style mondrian; Genetic algorithm; Computer art},
author={Cohen, Miri Weiss and Cherchiglia, Leticia and Costa, Rachel},
pages={338-353},
language={English}
}
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