Evolving Art Using Multiple Aesthetic Measures

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Heijer, Eelco den; Eiben, A. E.: Evolving Art Using Multiple Aesthetic Measures. In: EvoMUSART 2011, S. 234-243.




In this paper we investigate the applicability of Multi-Objective Optimization (MOO) in Evolutionary Art. We evolve images using an unsupervised evolutionary algorithm and we use two aesthetic measures as fitness functions concurrently. We use three different pairs from a set of three aesthetic measures and we compare the output of each pair to the output of other pairs, and to the output of experiments with a single aesthetic measure (non-MOO). We investigate 1) whether properties of aesthetic measures can be combined using MOO and 2) whether the use of MOO in evolutionary art results in different images, or perhaps “better” images. All images in this paper can be viewed in colour at http://www.few.vu.nl/~eelco/

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 Drechsler, Rolf and Farooq, Muddassar and Grahl, Jörn and Greenfield, Gary and Prins, Christian and Romero, Juan and Squillero, Giovanni and Tarantino, Ernesto and Tettamanzi, AndreaG.B. and Urquhart, Neil and Uyar, A.Şima},
title={Evolving Art Using Multiple Aesthetic Measures},
url={http://dx.doi.org/10.1007/978-3-642-20520-0_24 http://de.evo-art.org/index.php?title=Evolving_Art_Using_Multiple_Aesthetic_Measures },
publisher={Springer Berlin Heidelberg},
author={den Heijer, E. and Eiben, A.E.},

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