Comparing Aesthetic Measures for Evolutionary Art

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Heijer, Eelco den; Eiben, A. E.: Comparing Aesthetic Measures for Evolutionary Art. In: EvoMUSART 2010, S. 311-320.



In this paper we investigate and compare four aesthetic measures within the context of evolutionary art. We evolve visual art with an unsupervised evolutionary art system using genetic programming and an aesthetic measure as the fitness function. We perform multiple experiments with different aesthetic measures and examine their influence on the evolved images. To this end we store the 5 fittest individuals of each run and hand-pick the best 9 images after finishing the whole series. This way we create a portfolio of evolved art for each aesthetic measure for visual inspection. Additionally, we perform a cross-evaluation by calculating the aesthetic value of images evolved by measure i according to measure j. This way we investigate the flexiblity of each aesthetic measure (i.e., whether the aesthetic measure appreciates different types of images). The results show that aesthetic measures have a rather clear ”style” and that these styles can be very different. Furthermore we find that some aesthetic measures show very little flexibility and appreciate only a limited set of images.

Extended Abstract


booktitle={Applications of Evolutionary Computation},
series={Lecture Notes in Computer Science},
editor={Di Chio, Cecilia and Brabazon, Anthony and Di Caro, GianniA. and Ebner, Marc and Farooq, Muddassar and Fink, Andreas and Grahl, Jörn and Greenfield, Gary and Machado, Penousal and O’Neill, Michael and Tarantino, Ernesto and Urquhart, Neil},
title={Comparing Aesthetic Measures for Evolutionary Art},
url={ },
publisher={Springer Berlin Heidelberg},
author={den Heijer, E. and Eiben, A.E.},

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