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Adea – Evolving Glyphs for Aiding Creativity in Typeface Design

Authors

Abstract

Being creative in Graphic Design often requires protected experimentation processes. We present an evolutionary engine for generating glyphs, aiding designers to explore during the creative process. The system employs a Genetic Algorithm to evolve svg using both
interactive and automatic fitness assignment. We present topological variation operators that promote the exploration of adequate topologies and we compare the performance of topological and conventional operators for generating uppercase “A"s. The results demonstrate that the topological crossover operator performs more efficiently both regarding fitness and phenotypes.

Keywords

generative design, generative typography, computational creativity

Subject

Computational Creativity

Conference

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion 2020

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DOI


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