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Evotype: Evolutionary Type Design

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 9027)


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.


  • Type design
  • Evolutionary design
  • Island model

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This research is partially funded by: iCIS project (CENTRO-07-ST24-FEDER-002003), which is co-financed by QREN, in the scope of the Mais Centro Program and European Union’s FEDER; Fundação para a Ciência e Tecnologia (FCT), Portugal, under the grants SFRH/BD/90968/2012 and SFRH/BD/105506/2014; project ConCreTe. The project ConCreTe acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grant number 611733.

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Correspondence to Tiago Martins .

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© 2015 Springer International Publishing Switzerland

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Martins, T., Correia, J., Costa, E., Machado, P. (2015). Evotype: Evolutionary Type Design. In: Johnson, C., Carballal, A., Correia, J. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2015. Lecture Notes in Computer Science(), vol 9027. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16497-7

  • Online ISBN: 978-3-319-16498-4

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