Evotype: Evolutionary Type Design
Inhaltsverzeichnis
Referenz
Tiago Martins, João Correia, Ernesto Costa, Penousal Machado: Evotype: Evolutionary Type Design. In: EvoMUSART 2015, 136-147.
DOI
http://link.springer.com/chapter/10.1007/978-3-319-16498-4_13
Abstract
An evolutionary generative system for type design, Evotype, is described. The system uses a Genetic Algorithm to evolve a set of individuals composed of line segments, each encoding the shape of a specific character, i.e. a glyph. To simultaneously evolve glyphs for the entire alphabet, an island model is adopted. To assign fitness we resort to a scheme based on Optical Character Recognition. We study the evolvability of the proposed approach as well as the impact of the migration in the evolutionary process. The migration mechanism is explored through three experimental setups: fitness guided migration, random migration, and no migration. We analyse the experimental results in terms of fitness, migration paths, and appearance of the glyphs. The results show the ability of the system to find suitable glyphs and the impact of the migration strategy in the evolutionary process.
Extended Abstract
Bibtex
@incollection{
year={2015},
isbn={978-3-319-16497-7},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={9027},
series={Lecture Notes in Computer Science},
editor={Johnson, Colin and Carballal, Adrian and Correia, João},
doi={10.1007/978-3-319-16498-4_13},
title={Evotype: Evolutionary Type Design},
url={http://dx.doi.org/10.1007/978-3-319-16498-4_13 http://de.evo-art.org/index.php?title=Evotype:_Evolutionary_Type_Design },
publisher={Springer International Publishing},
keywords={Type design; Evolutionary design; Island model},
author={Martins, Tiago and Correia, João and Costa, Ernesto and Machado, Penousal},
pages={136-147},
language={English}
}
Used References
Butterfield, I., Lewis, M.: Evolving fonts (2000). Consulted in http://accad.osu.edu/~mlewis/AED/Fonts/, October 2014
Lund, A.: Evolving the shape of things to come: A comparison of direct manipulation and interactive evolutionary design In: International Conference on Generative Art. Domus Argenia, Rome, Italy (2000)
Unemi, T., Soda, M.: An IEC-based support system for font design. In: Proceedings of the IEEE International Conference on Systems, Man & Cybernetics, Washington, D.C., USA, 5–8 October, pp. 968–973 (2003)
Schmitz, M.: GenoTyp, an experiment about genetic typography. Presented at Generative Art Conference 2004 (2004)
Levin, G., Feinberg, J., Curtis, C.: The alphabet synthesis machine (2006). Consulted in http://www.alphabetsynthesis.com, October 2014
Holland, JH (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor
Baluja, S, Pomerlau, D, Todd, J (1994) Towards automated artificial evolution for computer-generated images. Connection Sci. 6: pp. 325-354 http://dx.doi.org/10.1080/09540099408915729
Machado, P, Romero, J, Manaris, B Experiments in Computational Aesthetics An iterative approach to stylistic change in evolutionary art]]. In: Romero, J, Machado, P eds. (2007) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music. Springer, Berlin Heidelberg, pp. 381-415
Machado, P, Correia, J, Romero, J Expression-Based Evolution of Faces. In: Machado, P, Romero, J, Carballal, A eds. (2012) Evolutionary and Biologically Inspired Music, Sound, Art and Design. Springer, Heidelberg, pp. 187-198 http://dx.doi.org/10.1007/978-3-642-29142-5_17
Artan, Y., Burry, A., Kozitsky, V., Paul, P.: Efficient smqt features for snow-based classification on face detection and character recognition tasks. In: 2012 Western New York Image Processing Workshop (WNYIPW), pp. 45–48, Nov 2012
Carlson, A., Cumby, C., Rosen, J., Roth, D.: The snow learning architecture. Technical report UIUCDCS-R-99-2101, UIUC Computer Science Department, May 1999
Links
Full Text
http://www.researchgate.net/publication/280308590_Evotype_Evolutionary_Type_Design
http://conceptcreationtechnology.eu/?q=system/files/MartinsCorreiaetal2015.pdf
